Dataset curation jobs

Textile Pattern Library Audit & Quality Curation — Ka Imi Ola (Apparel) ABOUT THE BRAND Ka Imi Ola is a modern Hawaiian aloha shirt brand. Our design direction is focused on bold, graphic textile patterns featuring authentic native Hawaiian plants, rich earth-driven color palettes, and hand-cut silk-screen/linocut aesthetics (in the tradition of Hawaiian printmaking). THE PROBLEM & TASK We have a master library of ~2,400 image files across 17 folders. This library contains a mix of raw textile patterns, artwork references, design variations, and product photos. Many are duplicates. Some are exceptional pattern references. Most are unusable for production. We tried using automated AI scripts and computer vision to sort this library. They failed to capture the nuanc...

I have a dataset that needs a focused trend analysis and I’d like your help with the data cincse side of things. What matters most to me is uncovering clear patterns, explaining what drives them, and presenting the results in a way that makes next-step decisions obvious. Here’s what I have in mind: • Work through the raw data, clean it where necessary, and structure it for analysis. • Carry out the core trend analysis, highlighting any seasonality, upward or downward movements, and outliers that deserve attention. • Summarise the findings visually—charts, dashboards, or other intuitive visuals—so stakeholders can grasp the story at a glance. • Deliver a concise report (code notebook or slide deck) that walks through your methodology...

I need a fully-functioning lead-generation and sales operating system tailored to my granite and stone business and restricted to prospects located in Pune city. Core requirements The engine must scrape business directories—e-GEM, CPPP and Construction DATA—then run the results through a...statistics and download the latest file. Acceptance criteria • Minimum 95 % valid email and phone coverage on the final list. • All leads mapped to Pune; no out-of-city records. • Source code, documentation and hand-off session included. Python, Selenium, BeautifulSoup, Scrapy or similar tools are fine; feel free to recommend alternatives if they boost reliability. The sooner the first usable dataset is in my hands, the better—I’m ready to move ahe...

Role: Data Cleaning Specialist. Cleaned and structured 736 unorganized entries into a professional Excel dataset. Applied logic-based techniques to extract Name, Address, City, State, and Postal Code from mixed data. Handled multiple patterns including individual names, company names, numeric addresses, P.O. Box formats, and dot-delimited entries. Removed inconsistencies, standardized formatting, and organized data into a clean, filterabl

I have a sizeable collection of raw text that I’d like to run through Handshake AI so I can turn the scattered words into solid, data-backed insights. The core of the job is to configure Handshake AI for text data analysis, plug in my dataset, and return an easily digestible report of the findings. Here’s what I need from you: • Connect to or set up the Handshake AI workspace and verify that it can ingest my text files without format issues. • Build the processing pipeline that lets me drop in new documents at any time and instantly rerun the analysis. • Deliver a concise report that highlights the most significant patterns you uncover—frequency distributions, keyword clusters, or any other stand-out metrics Handshake AI surfaces—along wi...

Role: Data Cleaning Specialist. Cleaned and structured 736 unorganized entries into a professional Excel dataset. Applied logic-based techniques to extract Name, Address, City, State, and Postal Code from mixed data. Handled multiple patterns including individual names, company names, numeric addresses, P.O. Box formats, and dot-delimited entries. Removed inconsistencies, standardized formatting, and organized data into a clean, filterabl

...to the sector. - Evaluate how WTO rules, GATS commitments, and/or EU trade agreements influence the sector. - Assess how digitalisation and emerging technologies are likely to transform the sector over the next decade. Mandatory source requirements The paper MUST include: 1 - minimum 2 peer-reviewed journal articles, 2 - minimum 2 policy or regulatory documents, 3 - minimum 1 statistical dataset, 4 - minimum 1 industry or company source. Mandatory appendix MUST Include: 1- search strategy, 2- databases consulted, 3- AI-use declaration (incl. a detailed description of used prompts), 4- and a short reflection (300 words) explaining the most difficult analytical decision you made. *Course slides attached for reference ** references for the course material

I need a clean, well-structured dataset that captures every AI tool listed on two directories: • (about 10 000 tools) • (about 52 000 tools) For each tool, please collect: – Tool name exactly as displayed – Official website URL – Logo (image link) – price – price details Accuracy is critical: no missing entries, no duplicates, and pricing text must match what users see on the page. Feel free to choose the most convenient structured format (CSV, Excel, or JSON); just keep the columns consistent and clearly labeled. If it helps future updates, include the scraper script or notebook you use so I can rerun it later.

...a hands-on partner to turn a folder of labelled pictures into a production-ready image-classification model. This project sits squarely in machine learning: the main task is to build, train, and validate a solution that can correctly place each incoming image into its predefined category with solid, measurable accuracy. Here is how I see the work unfolding: • Prepare and clean the image dataset, applying sensible augmentation so the network generalises well. • Select or design a CNN architecture (transfer-learning with ResNet, EfficientNet, or a custom model—whichever you believe will perform best) and implement it in Python using TensorFlow or PyTorch. • Train, tune hyper-parameters, and track performance with clear metrics; I want the training not...

WhatsApp Group Setup & Contact Addition. Description Experience Level: Entry Am looking for a trustworthy freelancer to assist with contact list curation and bulk member additions across 2 to 3 designated WhatsApp groups. • Review and curate provided contact lists to ensure accuracy before processing. • Add contacts into 2–3 designated WhatsApp groups efficiently. • Maintain strict confidentiality regarding all provided contact data. 1. You will receive the contact list upon project assignment. 2. You will be temporarily assigned Admin rights in the WhatsApp groups to execute the additions. 3. Once all members are added and confirmed, Admin access will be removed. • Strict Data Privacy: All provided contact details are strictly confidential and must no...

I have a dataset that needs to be explored in Excel to uncover clear, actionable marketing insights. Your task is to clean the data, build the right pivot tables or Power Query steps, and present trends, segments, and key performance indicators in easy-to-read charts and summaries. What I expect • A tidy, well-documented workbook with formulas or macros that I can reuse. • Dashboards or pivot charts highlighting customer segments, campaign performance, and any anomalies worth noting. • A short written summary (one page is fine) explaining the findings and suggested next steps. To help me choose quickly, please attach examples of previous work where you performed similar Excel-based marketing analysis. Screenshots or a brief description of the outcome are enough;...

This project is for Chennai location and I need Chennai based peopl...launch. I will supply the questionnaire and an introduction email; you bring the outreach skills, follow-up discipline, and a tidy spreadsheet or dashboard of results. Key deliverables • Complete survey responses from an agreed number of qualifying fitness-industry small businesses • Weekly progress report highlighting contacted leads, response rate, and any blockers • Final compiled dataset plus a brief insights summary so the leadership team can spot trends quickly If you have experience conducting B2B surveys, especially within the fitness or wellness niche, let’s discuss the volume you can realistically cover in the two-month window and the tools you prefer for contact manag...

...listing if shown) Please deliver everything in a single, well-structured CSV file so I can load it straight into my CRM. Accuracy matters more than sheer volume; duplicate removal, consistent formatting, and clear separation of each field are essential acceptance criteria. Feel free to use Python, Scrapy, Selenium, Google Maps API, or any combination of tools you trust—as long as the final dataset is complete, deduplicated, and ready for immediate use....

... and immediately view the results in an interactive dashboard. Here is what matters to me: • A clean, employee-friendly data-entry screen with validation for each of the 14 columns (I’ll supply the exact field names and rules once we start). • A query function—simple text or drop-down filters are fine—that can pull records instantly. • An interactive dashboard generated from the same dataset so staff can spot trends without exporting to Excel. You’re free to organise the underlying database as you see fit so long as every column remains searchable and the whole solution stays inside Emergent. When you hand it over I’ll need the working project file, any custom scripts or triggers you used, and a short read-me so my team can...

I have a sales dataset in Google Sheets that I’d like turned into clear, insightful pivot tables. Your job is to set up each pivot so I can quickly slice totals, averages, and counts by product, region, and date without touching the raw sheet. Please build the pivots directly in my shared Google Sheet, label each tab logically, and add a short note beside every table explaining the filters and row/column logic you used. Once done, I should be able to refresh the data or add new rows and have the pivots update with a single click. If you’ve created dynamic pivot views in Google Sheets before and are comfortable working with sales-oriented metrics, this should be a quick engagement.

I’m building a computer-vision layer that can reliably recognise images and return structured results that the rest of my platform can consume. The core of the project is an AI-driven image-recognition model; I need someone who can take it from dataset preparation all the way to a callable endpoint. Here’s what success looks like for me: • A well-architected model (TensorFlow, PyTorch or comparable) trained on the dataset I’ll supply—or augmented with open-source sets you recommend—to reach an agreed accuracy threshold. • Clean, readable Python code with clear comments and a short README so future team members can retrain or fine-tune the model. • A lightweight API or Dockerised service that I can spin up on AWS/GCP and hit wi...

...UTF-8 .txt or docx. Acceptance criteria 1. Minimum 5000 unique levels (Mandatory). 2. File loads into Android Studio project without encoding issues. 3. Random spot checks reveal zero disallowed words or duplicates. If you have your own scraping scripts or linguistic corpora, great—just be sure the content is royalty-free. Let me know your timeline and any questions; I’m ready to get this dataset wrapped up quickly....

I need a data-savvy partner who can take my raw dataset and run a thorough descriptive analysis, then translate the numbers into clear stories about the trends and patterns hiding inside. I’m interested in measures such as frequencies, central tendency, dispersion, and time-based or categorical comparisons that highlight shifts over periods, segments, or any other meaningful dimension you discover. Here is what I’d like to see when the work is finished: • A cleaned, well-documented dataset (CSV or XLSX) • A concise report (PDF or Google Doc) that walks me through your methodology, key findings, and visual evidence—think charts, heat maps, or dashboards created in Python (pandas, matplotlib, seaborn), R (tidyverse), Excel, or Tableau, whichever y...

I need a Progressive Web App that turns existing door-to-door survey data into clear, professional reports my clients can open on any device. The app’s sole job is reporting—data collection is handled elsewhere—so the workflow should begin with a simple import or API pull of the completed s...feel free to lean on your strengths—just make sure the final build installs as a PWA, works seamlessly on mobile and desktop, and can be deployed to a standard web host. Deliverables • Source code and build instructions • Responsive, installable PWA bundle • Two report templates: Summary & Detailed • Brief README explaining how to connect our survey data endpoint I’ll provide a sample dataset and API key once we start. I’m look...

...research objectives, selecting or developing suitable AI models for power-system data, running the necessary simulations, and finally shaping the results into a clear, publication-ready document that meets university guidelines. Preferred tools are Matlab/Simulink or Python with libraries such as TensorFlow, PyTorch and Pandas, though I am open to alternatives if they better suit the chosen model or dataset. Deliverables • A detailed methodology outlining the AI techniques applied to the power-system problem • Simulation code and test data with clear commenting so I can reproduce the results on my end • Interim result summaries for each major milestone so feedback can be incorporated early • A polished thesis document, formatted to my department&rsqu...

...online data collection. Familiarity with APIs, search tools, web scraping, or other data collection methods. Strong quantitative and statistical background. Deliverables The initial project should include: Total number of publicly available references identified. A description of the data collection methodology. The sources searched. The search terms used. The time period covered. A cleaned dataset. Supporting spreadsheets or databases. Any scripts or software used so the work can be reproduced. A second phase may involve categorizing and analyzing the quantified data. Please Include Your educational background. Relevant experience. Examples of similar projects. The tools and methodology you would use to collect and quantify publicly available online references. The initial ...

...the better fit. Scope of work • Analyse my current customer information flow and recommend the most suitable database architecture. • Design the schema to hold core customer data—at minimum names, phone numbers, and email addresses—plus space for additional fields such as purchase history or demographic insights that we may add later. • Build the database, populate it with a small sample dataset, and document the structure. • Provide clear instructions (or simple scripts) so my team can run basic CRUD operations and export records to CSV when needed. Acceptance criteria • A functioning database on the agreed platform, accessible from a desktop client or web UI. • Well-commented schema/scripts delivered in an editable format. ...

...Processing logs User Interface  Live view  ROI selection  Exposure settings  Capture  OCR results  Save settings Software Requirements  C++  OpenCV  Ubuntu Linux  NVIDIA Jetson  TensorRT (preferred)  ONNX Runtime (optional)  Tesseract/PaddleOCR Deliverables  Complete source code  Build instructions  Installation guide  User manual  Documented code  Camera configuration  Test dataset  Sample results  Deployment support Acceptance Criteria  Runs on Jetson Orin Nano  Reliable OCR under controlled lighting  Near real-time processing  Modular architecture Future Opportunities Successful completion may lead to follow-on projects in barcode reading, AI inspection, robot guidance, PLC communication and multi-camera vision. Proposal Requirements  Relevant exper...

I have a dataset that needs to be transformed into a clear, accurate topographic map focused on hydrography—rivers and lakes are the central layers I want highlighted. Using ArcGIS Pro (or ArcMap if you prefer), I need you to: • Run the geospatial analysis necessary to extract and clean the hydrographic features from my source files. • Generate elevation shading and contours so the terrain context is obvious without cluttering the water data. • Style the final map so river networks, lake boundaries, and relevant labels stand out at both small‐ and large-scale zoom levels. The finished deliverables should include: 1. A fully layered ArcGIS project file (.aprx or .mxd) with symbology intact. 2. A high-resolution PDF and a web-optimised image (PNG or JP...

I have a time-stamped dataset that needs to come to life through clear, insightful line-chart visualizations. Your task is to take the raw data, tidy it where necessary, and build one or more line charts that make long-term trends, seasonality, and sudden shifts immediately obvious. Interactive output is preferred so I can hover, zoom, and filter, but I am open to a polished static alternative if that suits your tooling better. You may work in Python (pandas, matplotlib, seaborn, plotly), R (ggplot2, shiny), or a dashboard environment such as Tableau or Power BI—choose the stack you are most productive with. While my focus is on line charts, I’m happy to consider complementary visuals like heat maps or scatter plots if you believe they strengthen the story the data tell...

The project centers on meticulous data entry coupled with light administrative support. Records may arrive as scanned paperwork, digital files, or the occasional hard copy, so you’ll need to move comfortably between formats while keeping accuracy above 99 %. Typical tasks include entering information into Excel or Googl...Criteria • ≥99 % data accuracy verified by spot checks • Turnaround within the timeframe we agree for each batch • Strict confidentiality of all information handled Fluency with Microsoft Excel, Google Workspace, and clear written English will ensure a smooth collaboration. When you reply, mention your past experience on similar projects and the typical time you need to process a 500-row dataset. Work can start as soon as we fina...

We are building an AI copilot for Shopify merchants and need clean, consistently anonymised eCommerce data exports from established Shopify stores. The initial task is strictly data preparation — no analysis, no implementation, just well-structured, documented source data we can use to train and validate our models. Requirements: - Proven experience exporting data from Google Search Console, Google Analytics 4, and Shopify - Ability to anonymise domains and commercially sensitive terms using stable, consistent replacement values across all files - Strong understanding of data consistency — page identities must match across GSC, GA4, and Shopify exports - Access to established Shopify stores with real organic traffic and at least 6 months of history - Familiarity with GSC non-d...

...provided in a one-row-per-game format. Required fields include (where available): * Date * Home Team * Away Team * Opening Moneyline * Closing Moneyline * Opening Run Line * Closing Run Line * Opening Total * Closing Total * Starting Pitchers * Confirmed/Probable Lineups * Weather * Ballpark/Roof Status * Bullpen Usage * Key Injury Information * Final Score * Data Source * Missing Data Flags The dataset must represent only information that would have been available before first pitch, with the final score included separately for post-game grading. Important * Accuracy is more important than speed. * All sources should be documented. * Missing information should be flagged rather than guessed. * Experience with sports data, spreadsheet organization, Python, APIs, or data engi...

...for the admin to import this initial and updated dataset, the format and import process is to be confirmed with the client. Presence Awareness • Ability for drivers using the app to see if there is a cyclist or walker on the road ahead of them via location tracking within the app. • Ability for the app to warn drivers to take caution when a cyclist or walker is detected ahead of the driver. • Ability for active road users who have opted in to share their approximate position, enabling this presence awareness feature. Global Admin • Ability for the global admin to manage hazard data, including creating, editing and removing both time-bound and permanent hazards. • Ability for the global admin to import the initial local authority hazard dataset and ...

We are building an AI copilot for Shopify merchants and need clean, consistently anonymised eCommerce data exports from established Shopify stores. The initial task is strictly data preparation — no analysis, no implementation, just well-structured, documented source data we can use to train and validate our models. Requirements: - Proven experience exporting data from Google Search Console, Google Analytics 4, and Shopify - Ability to anonymise domains and commercially sensitive terms using stable, consistent replacement values across all files - Strong understanding of data consistency — page identities must match across GSC, GA4, and Shopify exports - Access to established Shopify stores with real organic traffic and at least 6 months of history - Familiarity with GSC non-d...

I’m looking for a complete, end-to-end data science workflow that starts with pulling structured data from APIs and ends ...and compare their performance with the usual metrics. I value transparency, so every notebook or script must be well commented, and a short, readable methodology report should explain your decisions, highlight key insights, and suggest where the model—and the underlying data collection—could be improved. Deliverables • Python code/notebooks, fully commented • Cleaned and feature-engineered dataset (saved locally) • Visualizations and EDA narrative • Model files plus evaluation summary • PDF or Markdown report with insights and improvement ideas If this sounds straightforward to you and you can communicate...

I have a sales dataset that needs to be analyzed in Microsoft Excel. I'm looking for someone who is comfortable working with formulas, Pivot Tables, charts, and basic data analysis. Your tasks include: Calculate total sales for each order using the provided columns. Summarize revenue by region and salesperson. Calculate the average order value (excluding cancelled orders). Identify the top 5 customers by total revenue. Count the number of Completed, Pending, and Cancelled orders. Create a Pivot Table showing revenue by Category and Region. Build a chart based on the Pivot Table. Apply conditional formatting to highlight high-value orders. Keep the original data unchanged and place your analysis in a clean, organized format

...real-world K-12 school district analytics solution rather than a basic dashboard. The project should solve actual business problems faced by district leadership, such as identifying at-risk students, monitoring attendance, evaluating academic performance, measuring MTSS intervention effectiveness, analyzing behavior trends, and tracking equity across student groups. It should include a realistic dataset (15,000–25,000 records), a well-designed star schema data model, SQL scripts for data extraction and transformation (using joins, CTEs, window functions, aggregations, and data validation), and six interactive Tableau dashboards: Executive Overview, Attendance Analytics, Academic Performance, MTSS Analytics, Equity Analysis, and Student Detail. The dashboards should incorp...

...set. Here’s what I need from you: • Audit the current report logic and pinpoint the root causes of the formatting problems and performance issues. • Refactor or rewrite the underlying scripts/queries so visuals line up perfectly and refreshes complete in a reasonable time. • Improve the data layer (“data up”) by validating sources, adding any missing joins or calculations, and making the dataset sturdy enough for deeper analysis. • Document your changes clearly so I’m not back in the dark the next time something needs tweaking. Acceptance criteria • All CX reports load in under 5 seconds with full interactivity. • Visual elements stay aligned and printable/exportable without manual fixes. • Data transforma...

...timelines. ### Strict Quality Assurance * Multi-level QA covering camera angles, lighting, metadata, and task compliance. * 100% adherence to project-specific collection and annotation guidelines. ### Our Expertise * AI Egocentric & First-Person Video Collection (Egocentric Vision, AR, VR) * iPhone-Based Computer Vision Dataset Collection * Residential & Workplace Participant Recruitment * Large-Scale Multi-Location Data Collection Operations ### Ready to Scale Your AI Dataset? Whether you're planning a 100-participant pilot or a large-scale enterprise data collection program, **Aelifins Technologies** delivers the speed, scalability, and quality your AI projects require. Send us a message with your project requirements, and let's discuss how we ca...

Native Romanian speaker needed to review 125 question-and-answer pairs for an academic multilingual benchmark dataset. This is a two-phase project. Phase 1 (text review) is the work starting now; Phase 2 (audio recording) follows after the organizers approve the text. PHASE 1 - TEXT REVIEW (current phase) For Phase 1, you should read every question and answer as a native speaker, checking factual accuracy, natural and idiomatic language, spelling, grammar, cultural appropriateness, and whether the question is clear, self-contained, sufficiently challenging, and has only one short, unambiguous answer. Open the evidence URL and confirm that it directly supports both the question and answer, ensure the wording does not reveal the answer, verify the English translations, correct any pr...

I need a clean, up-to-date extract of specific listings from an accommodation website. The focus is on Apartments, Cottages, and Bed & Breakfast properties, and for each listing I want all standard property details together with a direct phone number where available. Please deliver the final dataset as a single Excel file (.xlsx) with one row per property and consistent column headers. I will consider the job complete when I can filter, sort, and pivot the sheet without hitting blank or mismatched fields. Key expectations • All target property types covered (apartments, cottages, B&Bs) • Accurate capture of property name, full address, geo-coordinates if shown, amenities summary, and contact phone number • No duplicates, no missing rows, no truncated t...

...the better fit. Scope of work • Analyse my current customer information flow and recommend the most suitable database architecture. • Design the schema to hold core customer data—at minimum names, phone numbers, and email addresses—plus space for additional fields such as purchase history or demographic insights that we may add later. • Build the database, populate it with a small sample dataset, and document the structure. • Provide clear instructions (or simple scripts) so my team can run basic CRUD operations and export records to CSV when needed. Acceptance criteria • A functioning database on the agreed platform, accessible from a desktop client or web UI. • Well-commented schema/scripts delivered in an editable format. ...

...box, play/stop controls, language switch, and option to download or share the generated audio • Clear build & retraining instructions so I can refresh the voice later if I add more recordings I will supply all voice data up front and can test on multiple Android phones once you provide an APK. Let me know your preferred toolchain, projected training time, and any questions about the voice dataset....

I’m running a one-hour recording session on Microsoft Teams to collect conversational dialogue that will feed directly into a voice-recognition training dataset. Because the system we are refining targets North-American pronunciation, I need native U.S. English speakers only. During the call you and another participant will hold a relaxed, natural conversation built around corporate-training scenarios—think workplace policies, onboarding experiences, and similar topics. No reading from a script; I’m after spontaneous speech that still feels professional. What you’ll deliver • Attend a single 60-minute Teams meeting at the scheduled time • Use a quiet environment and a decent headset or built-in mic so the audio is clear • Follow a short...

I’m streamlining a growing dataset of local information and need a detail-oriented assistant to keep it accurate and up to date. The job is straightforward: pull the required details from specified online databases and enter them into my existing spreadsheet template. You’ll receive clear field-by-field instructions, source links, and an example record to follow. Consistency and speed matter more than volume; I’d rather have one perfectly formatted row than ten that need fixing. Familiarity with Google Sheets or Excel is a plus because that’s where you’ll be working. Deliverable: • Completed and fully verified spreadsheet rows for each batch I assign, ready for immediate use. I’m looking to start as soon as possible, so let me know your ex...

I’m sitting on a very large, fully structured dataset and need an expert who can turn that raw volume into reliable, actionable insight. The core of the engagement is data analysis—everything from designing an efficient pipeline that ingests, cleans, and joins the tables at scale, to writing performant queries and statistical routines that surface trends I can use in decision-making. The stack is open: Apache Spark, Hadoop, distributed SQL engines, or another platform you’re confident will keep runtimes reasonable and costs under control. What matters most is that the solution handles billions of rows without sacrificing accuracy or maintainability and that every step you take is reproducible. Acceptance for the work will be based on: • A documented workfl...

...effortlessly stylish vibe that speaks to everyday wearability while still feeling fresh and high-end. I’ll supply the garments; you help craft the story that brings them alive on the runway. Key areas where I’m looking for your expertise include: • Pre-show planning: venue scouting, timeline creation, model casting, and fitting schedules • Creative direction: runway layout, set design, music curation, and styling to ensure each look builds brand identity • Event management: coordinating rehearsals, backstage flow, and show-day run sheet so everything runs to the second • Brand amplification: press-kit preparation, influencer outreach, social media teasers, and post-show content that keep the buzz going long after the final walk Deliverable...

I’m enhancing my existing web app by adding two new, data-analysis formulas. The current codebase is already live and stable; what I need now is for these formulas to plug seamlessly into the relevant page so users can input their numbers and instantly receive the calculated results alongside the rest of the dataset. Here’s what I’m after: • Implement the two formulas exactly as supplied (I’ll share the mathematical logic and sample values in a private message). • Connect them to the existing inputs and output sections without altering the look and feel of the UI. • Return the results in real time, matching the app’s current performance standards. • Supply concise documentation or inline comments that show where the changes...

I’m looking for help turning a messy Excel workbook into a model-ready dataset and then driving a small machine-learning workflow directly from Excel. The immediate focus is data cleaning and transformation: removing duplicates, fixing inconsistent formats, handling missing values, and reshaping tables so every column is analytically sound. Once the data is tidy, I’d like you to set up a lightweight machine learning model—classification or regression—using whichever approach fits best inside the Excel environment (Power Query + Power Pivot, the new Python in Excel feature, or an external script triggered from VBA). Key deliverables • A fully cleaned, well-structured Excel file with transformation steps saved (Power Query or documented VBA). • A...

...and a responsive layout are important. Core requirements • Discussion boards with threaded posts for the payments-and-donations niche • Customisable user profiles so members can display credentials and payment preferences • Secure private messaging between members • Fast, filterable search that spans posts, users, and tags • Role-based access: Admin (full control), Moderator (content curation), Regular user (standard participation), plus a special “Web Radio Space NOT ICON TALENTS OR RH stupids from brazil role with its own landing page and permissions Technical expectations I’m open to proven platforms such as Discourse, NodeBB, phpBB, or a custom build—whichever delivers reliability, security, and ease of maintenance. The s...

...new data without disturbing the original layout, fonts, tables, or signatures. The fields to be changed are always the same set: full names, addresses, and a few employee-specific details. In day-to-day use I will hand the system a batch of template PDFs plus a data file (CSV or JSON) that lists the replacement values for each employee. Your code should automatically map every column in that dataset to the right spot in the PDF, apply the changes, and export clean, flattened PDFs ready for distribution. Preferred stack is Python, and I’m comfortable with libraries such as PyPDF2, pdfplumber, pdfminer, or PDFBox; if you see a better path—LayoutLM, GPT-based text spotting, computer-vision alignment—please suggest it. The whole process must run locally or in a se...

...CSV files that need to live in BigQuery and feed directly into Looker Studio dashboards. The workflow I have in mind is straightforward: create the initial dataset and tables in BigQuery, load the first batch of files, then automate a weekly refresh so each new CSV lands in the right spot without manual intervention. Once the data sits reliably in BigQuery, I’d like clean, visually clear reports in Looker Studio that focus on two areas—sales results and overall operational performance. Think trend charts, variance indicators, and drill-downs that anyone on the team can use without additional training. Deliverables • BigQuery dataset and table schema set up for incoming CSVs • Automated weekly load process (Cloud Console, Cloud Functions, or anot...

I need a reliable scraping solution that can pull 1,000 property listings from Magicbricks, 99acres and any similar Bangalore-focused portals. The goal is to build a clean dataset covering only my target localities (I’ll share the exact neighbourhood list once we start). Property scope • Gated communities, villas, apartments, row houses and other organised group-housing projects within Bangalore city limits. For every qualifying project, capture these fields exactly: • Project / community name • Full address • Total area in acres (or square feet if acres are missing) • Number of houses or flats in the project • Key amenities mentioned by the developer or seller • Cost per house / flat (latest listed price or price range) ...

Our raw sales dataset needs a full analytical pass that starts with rigorous data cleansing. The main focus is on standardising every field—dates, currencies, product codes, customer IDs—so the data can be trusted for downstream reporting. Once the formats are consistent, I want a concise exploratory analysis in Python (Pandas, NumPy, Matplotlib or Seaborn) that highlights high-level trends, seasonality, and any obvious outliers. If you spot missing values or duplicate rows along the way, feel free to resolve them; the primary acceptance criterion, however, is clean, consistently formatted data backed by a short insight summary. Deliverables • Python notebook or script that performs the cleaning and analysis • A cleaned CSV (or Parquet) file ready for f...