Need Python/NLP Developer for Job Market Analytics + Research Project (Dashboard + ML)

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Job Market Analytics System with Python & NLP Expertise ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for an experienced Python/NLP developer. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for job market analytics. I will efficiently process large datasets, extract technical skills, and create a robust salary analysis and forecasting model. ➡️ Why Me? I can easily handle your job market analytics project as I have 5 years of experience in Python development, data processing, and NLP. My expertise includes working with large datasets, skill extraction, and building interactive dashboards. I also have a strong grip on machine learning models and data validation, ensuring a reliable outcome for your project. ➡️ Let's have a quick chat to discuss your project in detail. I can provide samples of my previous work and show you how I can make this project a success. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Python Development ✅ Data Processing ✅ NLP Techniques ✅ Skill Extraction ✅ Salary Analysis ✅ Job Demand Forecasting ✅ Streamlit Dashboard ✅ Machine Learning Models ✅ Data Validation ✅ GitHub Management ✅ Regular Commits ✅ Communication (Hindi/Gujarati) Waiting for your response! Best Regards, Zohaib

@ShaikhAneesa

Hello, I have carefully reviewed your project requirements for building a job market analytics system using Python and NLP. I understand the need for data processing, skill extraction, salary analysis, job demand forecasting, and dashboard creation. Let's chat and discuss it further. To handle your project, I will start with processing the large job datasets using Python and pandas, then extract technical skills using NLP techniques such as spaCy and regex. I will utilize ML models for salary estimation and demand forecasting, ensuring accuracy and reliability. The deliverables for this project will include a clean dataset, a skill extraction pipeline, salary analysis, demand forecasting, a Streamlit dashboard, and detailed research results. Before signing-off my bid, I would like to ask a question, i.e., how do you plan to validate the skill extraction process? Warm Regards, Aneesa.

@softsolution2000

I have extensive experience in Python, NLP, and data analytics. I understand your requirements for the job market analytics project and am confident in my ability to deliver high-quality results. I have worked on similar projects in the past and have a strong background in skill extraction and salary estimation. My approach involves using a combination of regex, spaCy, and ML models to extract skills like Python and SQL accurately. I am willing to adjust the budget once we discuss the full scope of the project. Please review my profile for relevant projects. Let's discuss the details and get started on this exciting project. Looking forward to hearing from you.

@avinashdubeyg209

Noticed you're diving into salary estimation by validating against BLS data—that's key for accuracy. I recently built a data pipeline for extracting skills from job descriptions that improved processing speed by 40% for large datasets. Given the combination of real-time job demand analysis and visualization requirements, any preference for specific libraries beyond Streamlit? Let's refine the scope and dive into building a robust solution. Let me know when you're ready to discuss further; can start today.

@jepita200

Hi, I understand you’re building a research-focused job market analytics system that involves large-scale data processing, skill extraction, salary analysis, and demand forecasting with proper evaluation metrics. My strength lies in data analysis, structured dataset handling, and designing reliable workflows for extracting insights, validating results, and presenting them clearly through dashboards. I can support the full pipeline—from preparing and structuring datasets to analyzing skills, salary patterns, and demand trends—while ensuring clear documentation and reproducible results for your research. I’m comfortable collaborating through regular meetings, explaining each step, and delivering organized outputs aligned with your research goals within the given timeline. Looking forward to working with you.

@FaizalShaik80

Hi, I would love to help. I have reviewed your project and noticed that it is very similar to a task I completed two months ago. I am a skilled freelancer with 6+ years of experience in Python, GitHub and I can deliver the results as quickly as possible. Please visit my profile to check the latest work and honest client reviews. Let us make this great together, please connect in chat. Warm regards.

@asadamyn

I am a Python developer and Data Analyst with strong experience in NLP, machine learning, and building research driven analytics systems. I have worked on large scale data processing, skill extraction pipelines, salary modeling, and interactive dashboards, so this project fits very closely with my expertise. For skill extraction, I would implement and compare multiple approaches including regex based matching, spaCy pipelines, and embedding based similarity using modern models, then evaluate them using precision, recall, and F1 to ensure reliability. For salary estimation, I will build regression models using job features and extracted skills, followed by validation against BLS data and uncertainty analysis. For demand forecasting, I will analyze time series trends and compare models such as ARIMA and machine learning based approaches to ensure robust evaluation. The full system will be delivered with a clean dataset, modular pipelines, and a Streamlit dashboard for interactive exploration, along with clear research documentation and GitHub version control. I can complete this within 2 to 3 weeks while attending regular meetings and explaining each step clearly.

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience in Python, NLP, and data analytics. My expertise in processing large datasets, extracting technical skills, and building ML models align perfectly with your project requirements. With a strong background in Python, NLP, and ML, I am confident in delivering top-notch results for your job market analytics system. This project will solve the pressing need for accurate job market insights, enabling better decision-making based on reliable data. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@mayankinnovative

Hi, As per my understanding: You need an end-to-end Python/NLP system for US job market research. The core focus is on three research pillars: reliable skill extraction (comparing methods), salary estimation validated against BLS data, and time-series demand forecasting. You require a clean data pipeline, an interactive Streamlit dashboard, and a developer who can communicate fluently in Hindi/Gujarati for bi-weekly technical syncs. Implementation approach: Data & Skills: I’ll process 50k+ rows using Pandas. For skill extraction, I’ll compare a Rule-based (Regex) approach with a Transformer-based (spaCy/Sentence-BERT) approach to evaluate Precision/Recall. Salary & Trends: I’ll use Regression models for salary prediction, integrating BLS OEWS datasets for benchmarking. For forecasting, I’ll apply Prophet or ARIMA to identify hiring trends. Dashboard: A Streamlit interface will visualize skill clusters, salary distributions, and forecast curves. Transparency: All code will be pushed to GitHub with clear commits, and I will explain the logic/math in our meetings. A few quick questions: Do you have a specific primary dataset (like Kaggle/Indeed) in mind, or should I finalize one? For BLS validation, are we focusing on specific SOC occupation codes? Which evaluation metric is most critical for your research—accuracy in extraction or the reliability of the forecast?

@maxscender

i can help you. I’ve identified a critical bottleneck in your research: mapping unstructured job titles to official BLS SOC codes for valid salary benchmarking. To solve this, I will implement a semantic similarity layer using sentence-embeddings to ensure the salary validation is mathematically accurate rather than just keyword-based. For skill extraction, I’ll move beyond simple regex to a hybrid spaCy NER approach to handle ambiguous terms like "Go" or "Product" that often skew F1 scores. I will also incorporate uncertainty intervals in the forecasting model to address the inherent noise in 10k-50k row datasets. I am fluent in Hindi and Gujarati and can clearly explain the underlying math and architectural decisions during our bi-weekly meetings.

@Techroj

Dear Client, Greetings!! I have gone through the project description, and found that all of the mentioned requirements fall over my expertise, as I have hands-on experience on python, AI/ML, Data Science, software building, etc. I can deliver a structured research pipeline that compares multiple skill extraction methods and evaluates their reliability with proper metrics. Salary prediction will be modeled and cross-checked with BLS data, and demand trends forecasted using time-series techniques. You’ll get clean code on GitHub, consistent commits, and a functional Streamlit dashboard. I focus on clarity, measurable results, and avoiding overcomplicated models that don’t add value. Lets discuss further over a chat. Also, I have been coding on Machine Learning and Data Science with python from past 7 years. I have the experience of working with 4 giant tech companies, including freelancing on upwork, fiverr and freelancer. Hope to hear from you soon!!. Regards, Rojan

@AhmadXpert2410

Hi there, I understand you need a complete end-to-end solution for a research-focused US job market analytics system, including skill extraction, salary analysis, and demand forecasting. I have experience building pipelines that handle large datasets (10k–50k+ rows), extracting technical skills using NLP methods such as regex, spaCy, and embeddings, and validating results with structured data like BLS statistics. I can also integrate forecasting and analysis into an interactive Streamlit dashboard for easy exploration. My approach will cover all three research requirements: I will implement multiple skill extraction methods and evaluate them using precision, recall, and F1 scores; build salary prediction models validated against official data; and perform trend analysis and forecasting to assess job demand reliability. The workflow will be fully version-controlled on GitHub with clear commits, and I will provide clean datasets, reproducible pipelines, and detailed explanations during our regular meetings. You will receive a complete, ready-to-use research platform including data processing scripts, skill extraction pipeline, salary analysis, forecasting models, and a Streamlit dashboard, all with documentation and research insights. I can deliver this within the 2–3 week timeline while keeping the work transparent and fully understandable during our discussions. Regards, Ahmad

@manojmalviya93

Hello! As a Python developer with specialization in AI, automation, and web scraping, your Job Market Analytics and Research Project aligns perfectly with my skill set. I have accumulated extensive experience thru past projects that involved similar work elements like ML and dashboard development. My proficiency in Python ensures that I understand the technicalities your project needs. I will provide you with clean, tested, and production-ready code. Feel free to ask any further queries or discuss the project scope. I'm always ready to collaborate.

@chiragardeshna

Hi there, Strong alignment with this project comes from experience building Python-based analytics systems with NLP pipelines, ML models, and interactive dashboards for research-driven insights. Clear understanding of the requirement to process large job datasets, extract skills, perform salary estimation with validation, and build demand forecasting models with evaluation metrics. Hands-on expertise ensures efficient pipelines using pandas, spaCy/embeddings, ML models, and a Streamlit dashboard with clean visualization and reproducible research workflows. Risk stays controlled through validated datasets, proper evaluation (precision, recall, F1), model tuning, and clear documentation with regular GitHub updates. Available to start immediately happy to discuss approach and next steps. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag

@Madnikpvtltd

Hello, I understand this is a research-driven NLP + ML pipeline where reliability, evaluation, and clear explanations matter as much as the final dashboard, and my approach would be: raw job dataset (10k+ rows) → cleaning and normalization → skill extraction pipeline (regex + spaCy + embedding-based matching) → evaluation with precision/recall/F1 → feature engineering for salary prediction → ML models with uncertainty estimation validated against BLS data → time-series trend analysis → forecasting (ARIMA/Prophet/ML models) → evaluation → Streamlit dashboard integrating all modules with interactive insights; I’ll maintain clean GitHub commits, provide reproducible code, and explain each step clearly during meetings, and I can also share similar NLP/data analysis work for reference, so if you want a structured, research-grade system delivered within timeline, let’s connect.

@antonk52

✅✅✅Hold on!! Looking for a Developer Who Gets Results? Hire Me, Relax, and Watch Your Project Turn Into Success✅✅✅ With an extensive experience in web and mobile development, I'm proficient in Python, SQL, utilizing my tech stack knowledge such as in Regex, spaCy and embeddings. I've dealt with sizable datasets before and developed Machine Learning models for data analysis – ultimately, turning them into actionable insights. As you've emphasised the NLP tasks involved, I want to assure you that my experience will come in handy when it comes to job like - extracting skills from job descriptions, comparing and evaluating multiple methods, and measuring their reliabilty (precision, recall, F1). The job description is quite demanding with research-based analytics involved which include salary estimation using job skills validation from BLS data and building forecasting models for job demand over time. As you must attend meetings twice a week to keep yourself updated with the project progress and intricate details about my work methodology; rest assured. I believe in keeping client satisfaction at the top of my priorities list by not only regularly communicating but also explaining each step of the process. Going forward with me will warrant that your work will not be owned or reused by anyone except for you.

@engruhulajom

Hello, Hope you are doing fine. I am an experienced Python/NLP developer based in Bangladesh (Bengali/English speaker). I cannot speak Hindi or Gujarati, but I can communicate clearly in English and attend meetings as required. If you are open to English communication, I can deliver the full project: data processing (10k+ rows), skill extraction (spaCy/regex/embeddings), salary estimation with BLS validation, demand forecasting, and a Streamlit dashboard. I will provide clean code, research results, and regular GitHub commits. Timeline: 2‑3 weeks. Let me know if English works for you. Best regards, Md Ruhul Ajom

@engrnaib

Hi, What specific challenges are you facing in extracting skills from job descriptions? I can help you build a robust pipeline to process large datasets and conduct effective salary analysis and forecasting. I have extensive experience in Python, pandas, and NLP techniques like regex and spaCy. My approach includes leveraging advanced techniques to ensure reliable skill extraction, salary prediction using BLS data for validation, and creating an interactive Streamlit dashboard for visualization. I’m familiar with GitHub for version control and committed to maintaining clear communication during our bi-weekly meetings. I can deliver the required outcomes within your timeline of 2 to 3 weeks. Let me know if you’re interested, and I can share relevant projects and a detailed plan for moving forward! Best Regards, Naib.N

@Deep02323

Dear, client I carefully read the description of your project and can confirm that I fully understand your needs and am genuinely interested in working with you. Your research-based job market analytics system combines NLP, forecasting, salary modeling, and dashboard delivery, which fits very well with my Python and applied AI experience. I have strong hands-on experience with Python, pandas, NLP pipelines, machine learning evaluation, and interactive dashboards. I have worked on projects involving large datasets, skill extraction from unstructured text, forecasting, and research-oriented workflows where reliability, documentation, and explainability are just as important as implementation. Let's discuss more