Freelance Data Scientists in Pune
Freelance Data Scientists in Pune
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Umar Shaikh
Pune, India
Data Scientist, Backend Engineer, Data Analyst
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Data Scientist, Backend Engineer, Data Analyst
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Proud to share that Iβve earned the Oracle Cloud Infrastructure (OCI) 2025 Certified Data Science Professional certification (https://tinyurl.com/dsmlaidl) β issued by Oracle. This certification validates my expertise in Machine Learning (ML) | Data Science | Artificial Intelligence (AI) | Cloud Computing, showcasing my ability to design, build, deploy, and manage end-to-end ML solutions using OCI Data Science and Oracle AI Services. π‘ Core Expertise: πΉ Scalable ML pipelines on OCI Data Science πΉ AI, MLOps, and Cloud best practices for model optimization πΉ Leveraging OCI Data Flow, Data Catalog, and AI Services for automation πΉ Skilled in Python | TensorFlow | Scikit-learn | OCI SDKs for production-grade workflows πͺ Passionate about applying ML | Data Science | AI | Cloud Innovation to drive real business transformation.
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Fraud_Transaction_Detection-Fraud_Finder_ID12254β¦
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International Debt Statistics - PPG Bilateral Debt
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main_palmer_penguin_EDA_2024-project
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Data Scientist
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Kaustubh Bhiwsankar
Pune, India
Data Analytics Professional
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Data Analytics Professional
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Geospatial Analysis and Feature Extraction ππ
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Dynamic Media Scraping Solution π
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End-to-End Data Analytics ππ»π
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Mansi Gaikwad
Pune, India
Web Developer | Responsive Design & UI/UX Specialist
New to Contra
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Web Developer | Responsive Design & UI/UX Specialist
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Project Title: Sentix AI: Global Sentiment Intelligence Results & Impact: 1. Achieved a 92% F1-score by implementing domain-specific fine-tuning on diverse consumer datasets, ensuring high reliability in classification. 2. Engineered an Aspect-Based Sentiment Analysis (ABSA) module that decomposed reviews into granular attributes (performance, pricing, reliability), making trend tracking 15% more precise. 3. Optimized inference performance by 25% through model distillation and Docker-based containerization, enabling the system to handle thousands of concurrent requests. 4. Mitigated data bias by designing a robust pre-processing workflow including lemmatization and custom noise reduction, critical for handling global marketplace jargon.
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End-to-End Strategic Framework: Developed a comprehensive 7-step social media game plan, transitioning from high-level SMART goal setting to granular weekly content execution. Data-Driven Audience Architecture: Engineered detailed consumer personas and competitor platform analyses to ensure content is tailored to specific demographic pain points and preferred communication modes. Balanced Content Ecosystem: Implemented a strategic 40/30/20/10 content mixβprioritizing education and inspirationβto build community trust while maintaining consistent promotional growth. Performance-Focused Iteration: Established a rigorous KPI tracking system (Awareness, Engagement, Conversions) alongside a "Lessons Learned" feedback loop to continuously optimize platform ROI.
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Conversion-Centric Ad Creative: A minimalist, high-fidelity marketing asset designed for the premium kitchenware and gifting niche. Engagement Focused: Specifically built to drive "saves" and "clicks" by framing a functional household item as a transformative "aesthetic essential." Strategic Detail Integration: Combines beautiful lifestyle photography with a direct-to-retail CTA to reduce buyer friction and maximize ROI for e-commerce brands. Results Oriented: Features a functional footer link optimized for social commerce, designed to bridge the gap between aspirational browsing and direct purchase.
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Social Proof Marketing Creative: A high-conversion template designed for the e-commerce home decor and furniture industry. Engagement Focused: Built around the "Bought & Loved" narrative to drive organic saves and click-through rates (CTR) among decor-conscious audiences. Utility Highlights: Expertly displays product versatility through multi-view imagery, answering technical consumer questions through visual evidence. Results-Oriented Design: Optimized with a direct CTA to bridge the gap between aspirational browsing and direct e-commerce retail.
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Neha Madrala
Pimpri-Chinchwad, India
Power BI Data Analyst turning data into insights
10
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Power BI Data Analyst turning data into insights
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Medicine Supply Chain Disruption Predictor Built a production-ready ML system that predicts drug shortage risk using real FDA data. Collected and cleaned 1703 real drug shortage records, trained an XGBoost model, and deployed it as a live REST API β accessible to anyone worldwide. The biggest challenge was identifying and removing 6 sources of data leakage that were causing fake 100% accuracy. After fixing this, the model delivers honest, generalisable predictions. The entire system is containerised with Docker, automatically rebuilt and redeployed via a Jenkins CI/CD pipeline on every code push, and visualised through an interactive Power BI dashboard. Result: A complete ML + DevOps project β from raw data to live deployed API β built independently in under 2 weeks. Live API: https://medicine-supply-predictor.onrender.com/docs GitHub: https://github.com/nehaM906/medicine-supply-predictor
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BizPulse β AI-Powered Business Analytics Dashboard Built for the Anything Ship & Sell Remixathon on Contra. What is BizPulse? An AI-powered business analytics tool that transforms messy, raw sales data into a clean professional dashboard instantly β no coding or spreadsheet skills needed. How it works: Upload any messy CSV or Excel file BizPulse auto-cleans your data and maps your columns Get a full analytics dashboard with KPIs, charts and AI insights Key Features: Business Health Score out of 100 KPI scorecards β Revenue, Expenses, Profit Margin, Customers 6 interactive charts with hover tooltips 5 AI-generated plain English business insights Revenue Goal Tracker with live progress bar Export as PDF and CSV No dataset? No problem! Click "Try Sample Data" on the upload screen to instantly load a realistic fictional dataset and explore the full dashboard. @Anything Try it here: https://bizpulse-879.created.app/ LinkedIn post: https://www.linkedin.com/posts/neha-madrala_anythingremixathon-buildinpublic-nocode-ugcPost-7453420153456762882-P2ve Demo Video: https://www.loom.com/share/3574386d73924ac59076493b055570c1
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The biggest shift in my learning hasnβt been technical itβs been mindset. I used to think good analysts are the ones who know more tools. Now I realize theyβre the ones who understand the business better. Anyone can create charts. Not everyone can explain why it matters. Thatβs what Iβm working on every day.
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Data is useless. Yes, it is. Because on its own, it doesnβt say much. Itβs just numbers, rows, and columns. The real value comes when that data is understood β when it answers a question, shows a pattern, or drives a decision. Thatβs what turns data into information. And thatβs what businesses actually need.
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Sarbjot Singh
Pimpri-Chinchwad, India
Power BI Expert | Turning Raw Data into Actionable Insights
New to Contra
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Power BI Expert | Turning Raw Data into Actionable Insights
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Iβm excited to share my latest Data Analytics project where I analyzed Customer Shopping Behavior to uncover trends in sales, demographics, and purchasing habits.This project was a great exercise in building a complete data pipeline. The Tech Stack: Python (Pandas & NumPy): Used in Jupyter Notebooks for initial data exploration and statistical analysis. PostgreSQL: Utilized for rigorous data cleaning, querying, and structuring the dataset for analysis. Power BI: Built an interactive dashboard to visualize key metrics like seasonal trends, subscription impacts, and category performance. Project Highlights: β Data Cleaning: Leveraged PostgreSQL and Pandas to handle missing values and standardize categorical data.
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Data Analytics Project | BlinkIT Grocery Sales Analysis Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights π π What I worked on: Analyzed sales performance across product categories, outlet types, sizes, and locations Identified top-performing item categories and customer preferences Studied the impact of outlet size, establishment year, and visibility on sales Converted raw data into actionable insights and business recommendations π‘ Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales FOR FULL PROJECT VIST GIT HUB β( https://lnkd.in/d34sdAPz )
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Venezuelaβs Oil Reserves Analysis Dashboard π I am excited to share my latest data analytics project focusing on the energy sector. Using a dataset covering 23 reservoirs, I designed a comprehensive dashboard to track production capacity and resource distribution in Venezuela. Key Features: β Real-time Metrics: Tracking the 390.50 Billion total barrels in reserve. β Granular Analysis: Production capacity breakdown by reservoir name and oil grade (Extra Heavy to Light). β Stakeholder Mapping: Visualizing the production sum by major operators. Tools Used: [pandas(jupyter notebook)/mysql(for analysis and cleaning of data), Power BI / Excel(for building dashboard)] Iβd love to hear your thoughts or feedback on the dashboard design! must visit my github for full project -( https://lnkd.in/dYKdZ8J2 )
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Data Analytics Project | BlinkIT Grocery Sales Analysis Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights π π What I worked on: Analyzed sales performance across product categories, outlet types, sizes, and locations Identified top-performing item categories and customer preferences Studied the impact of outlet size, establishment year, and visibility on sales Converted raw data into actionable insights and business recommendations π‘ Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales Medium-sized outlets outperform others in overall revenue FOR FULL PROJECT VIST GIT HUB β( https://lnkd.in/d34sdAPz ) Feedback and suggestions are always welcome!
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Data Scientist
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Darshan Badgujar
Pune, India
Python ML & Web Dev Expert π
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Python ML & Web Dev Expert π
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GitHub - D3V09/Unemployment-Analysis
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GitHub - D3V09/Sentiment-Analysis
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D3V09/Forecasting-System
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Aavej Patel
Pune, India
Data Scientist / Data Analyst
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Data Scientist / Data Analyst
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House Price Prediction
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PDF Document Question Answering LLM System
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Movie Recommendations System
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