Freelance Data Scientists in Pimpri-ChinchwadFreelance Data Scientists in Pimpri-Chinchwad
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Umar Shaikh's avatar
Umar Shaikh
Pune, India
Data Scientist, Backend Engineer, Data Analyst
10
Followers
Data Scientist, Backend Engineer, Data Analyst
Cover image for Proud to share that I’ve earned the Oracle Cloud Infrastruct...
Proud to share that I’ve earned the Oracle Cloud Infrastructure (OCI) 2025 Certified Data Science Professional certification (https://tinyurl.com/dsmlaidl) — 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. 💡 Core Expertise: 🔹 Scalable ML pipelines on OCI Data Science 🔹 AI, MLOps, and Cloud best practices for model optimization 🔹 Leveraging OCI Data Flow, Data Catalog, and AI Services for automation 🔹 Skilled in Python | TensorFlow | Scikit-learn | OCI SDKs for production-grade workflows 💪 Passionate about applying ML | Data Science | AI | Cloud Innovation to drive real business transformation.
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Cover image for Fraud_Transaction_Detection-Fraud_Finder_ID12254…
Fraud_Transaction_Detection-Fraud_Finder_ID12254…
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Cover image for International Debt Statistics - PPG Bilateral Debt
International Debt Statistics - PPG Bilateral Debt
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Cover image for main_palmer_penguin_EDA_2024-project
main_palmer_penguin_EDA_2024-project
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Data Scientist(3)
Neha Madrala's avatar
Neha Madrala
Pimpri-Chinchwad, India
Power BI Data Analyst turning data into insights
New to Contra
Power BI Data Analyst turning data into insights
Cover image for Medicine Supply Chain Disruption Predictor Built
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 — 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 — from raw data to live deployed API — 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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Cover image for Data is useless. Yes, it
Data is useless. Yes, it is. Because on its own, it doesn’t say much. It’s just numbers, rows, and columns. The real value comes when that data is understood — when it answers a question, shows a pattern, or drives a decision. That’s what turns data into information. And that’s what businesses actually need.
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Cover image for While working on a project,
While working on a project, one question always comes first: Do we need data first… or a clear understanding of the requirement? It’s easy to jump into dashboards, charts, and analysis. But without clarity, even the best data can lead in the wrong direction. So the real focus is asking the right questions: 👉 What exactly is the goal? 👉 What decision needs to be made? 👉 What does success look like? When the requirement is clear, the data becomes powerful. That’s how analysis turns into real business impact.
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Cover image for Medicine Supply Chain Risk Dashboard An
Medicine Supply Chain Risk Dashboard An interactive dashboard built on 1703 real FDA drug shortage records, visualising ML model predictions across 6 dynamic charts. Key findings: 35.2% of monitored drugs are at risk, 2025 recorded the highest shortages in history, and Anesthesia and Cardiovascular drugs are the most vulnerable categories. Features year and disease category filters for drill-down analysis enabling hospital procurement teams to take preventive action before shortages occur.
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Data Scientist(1)
Sarbjot Singh's avatar
Sarbjot Singh
Pimpri-Chinchwad, India
Power BI Expert | Turning Raw Data into Actionable Insights
New to Contra
Power BI Expert | Turning Raw Data into Actionable Insights
Cover image for I’m excited to share my
I’m 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: ✅ Data Cleaning: Leveraged PostgreSQL and Pandas to handle missing values and standardize categorical data.
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Cover image for Data Analytics Project | BlinkIT
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 📈 📊 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 💡 Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz )
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Cover image for Venezuela’s Oil Reserves Analysis Dashboard
Venezuela’s Oil Reserves Analysis Dashboard 📊 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: ✅ Real-time Metrics: Tracking the 390.50 Billion total barrels in reserve. ✅ Granular Analysis: Production capacity breakdown by reservoir name and oil grade (Extra Heavy to Light). ✅ 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)] I’d 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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Cover image for Data Analytics Project | BlinkIT
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 📈 📊 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 💡 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 –( https://lnkd.in/d34sdAPz ) Feedback and suggestions are always welcome!
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Data Scientist(1)
Mansi Gaikwad's avatar
Mansi Gaikwad
Pune, India
Web Developer | Responsive Design & UI/UX Specialist
New to Contra
Web Developer | Responsive Design & UI/UX Specialist
Cover image for Project Title: Sentix AI: Global
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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Cover image for Project Title: SteganoTool 1. Established a
Project Title: SteganoTool 1. Established a critical security framework for digital forensics and covert communication, as published in the IJRTI Journal (Vol. 10, Issue 4). 2. Achieved 100% data integrity during extraction by engineering a lossless LSB substitution pipeline for image, audio, and text carriers. 3. Conducted a comparative analysis of LSB vs. advanced transformation methods, proving that my custom noise-reduction heuristics significantly improved the PSNR (Peak Signal-to-Noise Ratio). 4. Optimized for multi-format compatibility, supporting 24-bit RGB and 8-bit grayscale images, making the tool versatile for various enterprise security applications.
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Cover image for Engineered a dynamic, multi-section input
Engineered a dynamic, multi-section input engine that optimized the user journey through scalable, real-time block management logic. Validated a 30% improvement in form-filling efficiency by measuring user interaction speed against traditional static document templates. Developed and owned a live-preview rendering engine with CSS-optimized print functions to ensure 100% document fidelity and recruiter-ready formatting.
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Cover image for Architected a high-performance frontend engine
Architected a high-performance frontend engine using Vanilla JavaScript and Tailwind CSS, resulting in a 40% increase in UI responsiveness compared to standard CSS frameworks. Engineered a client-side recommendation algorithm using Local Storage, dynamically analysing user behavioural data to suggest niche titles with a 100% data persistence rate without a backend. Optimized user decision-making by implementing a real-time price comparison modal, increasing the application’s utility and simulation accuracy by 30% across mock retail datasets.
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Data Scientist(1)
Darshan Badgujar's avatar
Darshan Badgujar
Pune, India
Python ML & Web Dev Expert 🚀
Python ML & Web Dev Expert 🚀
Cover image for GitHub - D3V09/Unemployment-Analysis
GitHub - D3V09/Unemployment-Analysis
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Cover image for GitHub - D3V09/Sentiment-Analysis
GitHub - D3V09/Sentiment-Analysis
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Cover image for D3V09/Forecasting-System
D3V09/Forecasting-System
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Data Scientist(3)
Aavej Patel's avatar
Aavej Patel
Pune, India
Data Scientist / Data Analyst
Data Scientist / Data Analyst
Cover image for House Price Prediction
House Price Prediction
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Cover image for PDF Document Question Answering LLM System
PDF Document Question Answering LLM System
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Cover image for Movie Recommendations System
Movie Recommendations System
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Data Scientist(3)