Freelance Data Scientists in Maharashtra
Freelance Data Scientists in Maharashtra
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Umar Shaikh
Pune, India
Data Scientist, Backend Engineer, Data Analyst
10
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Data Scientist, Backend Engineer, Data Analyst
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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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Fraud_Transaction_Detection-Fraud_Finder_ID12254…
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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
(3)
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Ajay Kurchami
Pune, India
AI Systems Engineer
New to Contra
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AI Systems Engineer
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Real-Time Anomaly Detection Engine for Fraud Prevention
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AI-Powered Churn Prediction Engine for Telecom
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Autonomous Market Researcher (Multi-Agent AI System)
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Enterprise BI & Revenue Prediction Platform Development
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Data Scientist
(4)
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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 📊🌏
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Dynamic Media Scraping Solution 🎭
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End-to-End Data Analytics 📊💻🔍
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(3)
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Abu Aasif Ansari
Kagal, India
I help businesses fix messy data and build dashboards
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I help businesses fix messy data and build dashboards
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I specialize in data cleaning and preprocessing, ensuring your spreadsheets or databases are accurate, well-formatted, and ready for analysis or reporting. What Ill do for you: Remove duplicates, nulls, and inconsistencies Standardize date, text, and numeric formats Fix spelling/case issues Split/merge columns (e.g., names, addresses) Convert file formats (CSV Excel SQL) Python or SQL-based advanced cleaning (if required) Supported formats: Excel, CSV, Google Sheets, SQL dumps Clean, fast & confidential service 100% satisfaction guaranteed Message me before ordering so I can understand your dataset and goals!
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Data Analytics Project – Subscription Model Analysis (SQL & Power BI) Analyzed a subscription-based business model for Foodie-Fi (TastyStream), a digital platform offering on-demand global cuisine content. The objective was to understand customer journeys, subscription transitions, and revenue performance using SQL and Power BI. Key Contributions & Insights: Segmented customers based on trial-to-paid and plan transitions. Analyzed free trial behavior and conversion patterns. Evaluated revenue performance across subscription plans. Built interactive dashboards in Power BI for actionable insights. Tools Used: MYSQL, Power BI Outcome: Delivered a clear, insight-driven dashboard supporting data-driven decisions in a subscription-based business.
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🚀 SQL & Tableau Project | Sales Analytics Dashboard To practice real-world analytics, I built an interactive Sales Analytics Dashboard using SQL & Tableau to analyze sales performance and customer behavior. 🔹 Dataset Highlights OrderID, CustomerID, Product, Category, Sales, Quantity, Discount, Profit, Region, OrderDate 🔹 Dashboard Coverage • Sales overview: Total Sales, Profit & Orders • Product performance: Top-selling products & category insights • Monthly sales trends 🔹 Tools Used • SQL • Tableau 🔹 Key Insights • A small customer segment drives most revenue • Certain product categories consistently outperform others • Clear seasonal sales patterns 🔹 What I Learned • Writing efficient SQL queries for analysis • Translating numbers into business-friendly visuals • Designing dashboards that support data-driven decisions
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Sales, Customer & Marketing Analytics Dashboard Project
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Data Scientist
(3)
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Neha Madrala
Pimpri-Chinchwad, India
Power BI Data Analyst turning data into insights
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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 — 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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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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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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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
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Sarbjot Singh
Pimpri-Chinchwad, India
Power BI Expert | Turning Raw Data into Actionable Insights
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Power BI Expert | Turning Raw Data into Actionable Insights
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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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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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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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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
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Mansi Gaikwad
Pune, India
Web Developer | Responsive Design & UI/UX Specialist
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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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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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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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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
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Srikanth Tangirala
Mumbai, India
Data Analyst / Data Scientist
13
Followers
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Data Analyst / Data Scientist
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Sentiment Analysis of Google Playstore App Reviews
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International Debt Statistics Analysis
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English Premier League Table
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