Auto Sales Insight & Prototype

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@benson2augustine

Hi friend ,we can do it with in ur minimum budget range, I'm trying to get more positive reviews and connections on my profile, so u get a good price and I get a good review and a good connection for future works,it is simple straightforward task,iam a software developer by profession,iam working as a fullstack developer,we can do it using python selenium or even simpler selenium wrapper called helium, if speed is concerned instead of selenium we can mimic xhr requests or API of website to make it even faster ,if from mobile app needed we can unpin ssl and mitm to get APIs,we can also use multiprocessing or multithreading to make concurrency possible, if u r interested let's discuss,we can do in some hrs

@AhmadXpert2410

Hi there, I understand you’re aiming to identify forward-looking challenges in automobile sales and translate them into a data-backed analysis and a working prototype that delivers real business value. This requires not just research, but connecting insights to a functional system—automated data pipelines, real-time dashboards, and predictive models that directly address emerging issues like demand shifts, pricing optimization, and digital sales trends. I have experience building end-to-end data solutions where I combine data scraping/APIs, exploratory analysis, and predictive modeling into actionable products. My approach would start with structured discovery—identifying high-impact problems using market data—then delivering a clear trends report with visualizations, followed by a prototype that integrates live data feeds, KPI dashboards, and forecasting models (using Python with tools like pandas, scikit-learn, and a lightweight dashboard framework). The final delivery will be cohesive and production-oriented: clean, well-documented code, a simple setup process, a compelling dashboard demo, and a concise analysis report that ties directly to the prototype’s value. The focus will be on solving real, current industry problems with a solution that is both insightful and demonstrable. Regards, Ahmad

@devanshkhandekar

Hi,I’m a seasoned Applied ML Engineer(6+ yoe) & I’ve shipped multiple projects where the job is (1) discover the real business pain, (2) prove it with data, and (3) demo a working product with live feeds + forecasting. Relevant work: >>Built end-to-end analytics + ML prototypes: automated ingestion -> cleaning -> KPI dashboards -> prediction(demand/volume scoring,trend detection), packaged for local run >>Designed decision systems where data feeds drive actionable guidance(ranking/scoring/forecasting) with transparent logic & explainability >>Implemented production-grade ETL + data validation(schema checks, missingness/outlier handling,idempotent re-runs) >>Integrated multiple APIs/scrapers with rate limits,retries,pagination,caching & created real-time dashboards(Streamlit/FastAPI + React) for non-technical users >>Built forecasting pipelines with proper time-split evaluation,backtests & monitoring-style summaries My Approach: 1. Discovery: map dealership/OEM/marketplace workflows,source public feeds(inventory,listings,incentives,pricing,macro proxies) & quantify “what’s changing now” (EV mix,inventory swings,price elasticity,lead-to-sale drop-offs) 2. Trends report: a tight PDF/slide deck with charts: seasonality, regional demand signals,pricing dispersion,inventory days,incentive impact & emerging shifts. 3. Prototype: local runnable demo: automated collection + live KPI dashboard + forecast module (demand/pricing guidance) with a few configurable knobs

@kshubham102

Hello, I can convert your workflow into a clean, fully automated Python script that runs seamlessly on any system with minimal setup. Solution Approach: Analyze your workflow + sample data and break it into modular steps Build a well-structured Python 3 script (standard library + minimal pip dependencies if required) Ensure cross-platform compatibility (Windows/macOS/Linux) Add clear logging, error handling, and validation for reliable execution Provide clean docstrings, inline comments, and modular functions for easy future edits Deliverables: Complete runnable script/module Organized project folder Clear README with setup + run instructions Sample output verification I’ve built similar automation tools for file processing, reporting, and repetitive workflows—focusing on simplicity, reliability, and zero manual effort after setup. Best Regards Shubham Sharma

@ankitdasrock

I am Ankit, a versatile programmer and automation specialist with proven skills in Python and JavaScript development. I can create clean, efficient, and robust applications which is exactly what your auto sales project demands. My expertise in these languages, along with my knowledge of Kotlin would enable me to meet even the most intricate technical parts of your project without any complications. More specifically, I specialize in AI & Automation which aligns perfectly with your need for custom AI tools, web scraping, data handling, etc. A clear demonstration of this expertise is my portfolio highlight on the offline currency converter app I developed for Android which was made possible by reliable data collection and analytics. Similarly, I've created several automated tools such as web scrapers and scripts for spare parts compatibility audits and customer prospecting that drew actionable insights from raw data. Additionally, being a person focused on improving productivity and driving results, I assure you fast turnaround without compromising quality. My codes are alwaysow well-commented with the detailed README you’ll need for straightforward installation

@animeshu2

Hi ? Your project stood out as it combines forward-looking analysis with a working prototype, which is exactly how impactful data solutions should be built. I would approach this in 3 structured stages: 1️⃣ Discovery: Identify emerging challenges in automobile sales (demand shifts, pricing inefficiencies, online vs dealership dynamics) using research and data signals. 2️⃣ Market Analysis: Deliver a clear, data-backed report with visuals/dashboards explaining why each problem matters, its impact, and future trends — ensuring insights are decision-ready. 3️⃣ Prototype: Build a functional demo with: ✔ Automated data collection (API/web scraping) ✔ Real-time KPI dashboard ✔ Predictive models (demand/pricing insights) Tech Stack: Python + Streamlit/Power BI (clean, documented, easy to run locally). Deliverables: ✔ Well-structured code + README ✔ Dashboard demo/screenshots ✔ Professional analysis report I focus on delivering solutions that are not just technical, but business-impact driven. Happy to share a quick approach/mockup before we begin. Let’s connect ? Best regards, Animesh

@yasht012

This project focuses on solving future challenges in automobile sales using data analysis and machine learning. In the discovery phase, key problems such as demand prediction, dynamic pricing, and changing customer behavior were identified through research. The market trends analysis shows the rapid growth of electric vehicles, increasing importance of online platforms, and expansion of the used car market. A working prototype has been developed which includes: - Automated data collection using web scraping - A real-time dashboard for analytics - A machine learning model for car price prediction This solution helps businesses make better decisions in pricing, demand forecasting, and customer targeting. Overall, this project demonstrates how AI and data-driven systems can improve

@mtrharry

Hi, This project aligns perfectly with my experience in web scraping, data analysis, and automated data solutions. WHY ME: • Built web scraping tools for massive data extraction using Python (BeautifulSoup, Selenium, Scrapy) as Team Lead at an e-commerce company • Developed automated data capture systems at MSD Chile (Merck Sharp & Dohme) • Computer Engineering degree specialized in Data Science MY APPROACH: PHASE 1 - DISCOVERY (Days 1-2): • Scrape dealership sites, OEM platforms, and industry databases • Identify forward-looking business challenges with data-driven analysis PHASE 2 - MARKET ANALYSIS (Days 3-4): • Process data with Python & Pandas • Create visual report with charts and interactive dashboard • Deliver professional PDF with actionable insights PHASE 3 - PROTOTYPE (Days 5-7): • Automated data collection pipeline (scraping + APIs) • Real-time analytics dashboard with KPIs • Prediction algorithms for demand forecasting DELIVERABLES: • Clean Python code + README • Interactive dashboard • Market analysis report (PDF) • Screenshots + screen recording Tech: Python, Selenium, Pandas, Plotly/Dash, Scikit-learn I can start immediately! Harry Ruiz Computer Engineer | Data Science

@kazenesia

Hi, This is a very interesting project — especially the focus on forward-looking challenges in automobile sales, not just historical analysis. From my experience working on data-driven business problems, one key issue that is becoming critical in this space is: Demand volatility and pricing inefficiency across regions and channels. I would approach your project in three structured stages: 1. Discovery I will identify emerging challenges by analyzing market data (sales trends, pricing shifts, customer behavior) and combining it with external signals (macroeconomic trends, online marketplace data). 2. Market Trends Analysis I will deliver a clear, visual report (charts/dashboard) highlighting: * Key future risks and opportunities * Estimated business impact * Data-backed insights for decision-making 3. Working Prototype I will build a simple but powerful prototype that includes: * Automated data pipeline (API or scraping-based) * Real-time dashboard (KPIs updating dynamically) * Predictive models (demand forecasting or pricing insights) You will receive: ✔ Clean and well-structured code ✔ Easy setup (Python-based, documented) ✔ Dashboard preview (screenshots or demo) ✔ Full analysis report (PDF or slides) If you'd like, I can first propose a quick concept (problem + solution direction) before we proceed — so you can validate the approach early. Looking forward to discussing this further. Best regards, Bram

@kumarvaibhav33

I serve as an Implementation Engineer, where I have spent the last 2.5+ years specializing in Global Trade Management (GTM) solutions. Throughout my tenure, I have successfully led implementations for 15+ global customers, navigating the complexities of international trade regulations and supply chain logic. My experience spans the entire project lifecycle, ensuring that technical solutions align perfectly with business objectives. Key areas of my expertise include: * End-to-End Delivery: Managing the full transition from initial requirement gathering and impact analysis to final Go-Live. * Technical Execution:Hands-on involvement in development, configuration, and system integration. * Quality Assurance: Leading System Integration Testing (SIT) and supporting clients through User Acceptance Testing (UAT). * Client Collaboration: Working as a bridge between technical teams and stakeholders to ensure seamless solution adoption and post-launch support. I am confident that my proven track record of managing high-stakes global implementations would make me a valuable asset to your team. I have attached my resume for your review and would welcome any opportunity to discuss how my background at E2open can contribute to your upcoming projects.

@abhishekg2523

I am an automobile engineering student with strong skill in data-driven market research, web scraping, and building full-stack analytics dashboards, making me a great fit for this project. I will deliver all three stages — Discovery, Market Trends Report, and Working Prototype — within 7 days at a fixed price of ₹4,700. In the first two days, I will research the automobile sales landscape by scraping relevant data sources and analysing OEM and dealership reports to pinpoint the most pressing forward-looking business problems — not yesterday's issues, but tomorrow's. Days three and four will be dedicated to a clear, data-backed market trends analysis with charts and visualisations explaining why each problem matters, how big the impact could be, and where the market is heading, delivered as a polished PDF or slide deck. In the final three days, I will build a working prototype with automated data collection via APIs and web scraping, a real-time KPI dashboard, and prediction algorithms for demand forecasting and pricing guidance. All code will be written in Python cleanly commented, with a short README so you can run the demo locally without any hassle. A screen-capture walkthrough of the dashboard in action will also be included. I combine technical depth with a business analysis mindset, ensuring the insights are genuinely actionable and not just visually appealing. I am ready to start immediately and will share progress at each stage.