Freelance Data Scientists in Maharashtra
Freelance Data Scientists in Maharashtra
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Abu Aasif Ansari
Bhiwandi, India
I build AI-powered data apps and dashboards
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I build AI-powered data apps and 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 โ 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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๐ 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. ๐น Dataset Highlights OrderID, CustomerID, Product, Category, Sales, Quantity, Discount, Profit, Region, OrderDate ๐น Dashboard Coverage โข Sales overview: Total Sales, Profit & Orders โข Product performance: Top-selling products & category insights โข Monthly sales trends ๐น Tools Used โข SQL โข Tableau ๐น Key Insights โข A small customer segment drives most revenue โข Certain product categories consistently outperform others โข Clear seasonal sales patterns ๐น What I Learned โข Writing efficient SQL queries for analysis โข Translating numbers into business-friendly visuals โข Designing dashboards that support data-driven decisions
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Superstore Sales Dashboard โ 3-Page Power BI Report Built an interactive 3-page Power BI dashboard using the Superstore Sales dataset (9,994 orders across USA). Page 1 โ Sales Overview: KPI cards, monthly trend, regional breakdown, category performance. Page 2 โ Product Performance: Top products, category donut, profit analysis, sales vs profit scatter. Page 3 โ Customer & Shipping: Segment breakdown, top 10 customers, monthly growth, ship mode distribution. Tools: Power BI, DAX, Superstore Dataset Theme: Dark professional with interactive year filter.
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Data Scientist
(3)
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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 Iโve earned the Oracle Cloud Infrastructure (OCI) 2025 Certified Data Science Professional certification (https://tinyurl.com/dsmlaidl) โ 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. ๐ก Core Expertise: ๐น Scalable ML pipelines on OCI Data Science ๐น AI, MLOps, and Cloud best practices for model optimization ๐น Leveraging OCI Data Flow, Data Catalog, and AI Services for automation ๐น Skilled in Python | TensorFlow | Scikit-learn | OCI SDKs for production-grade workflows ๐ช Passionate about applying ML | Data Science | AI | Cloud Innovation to drive real business transformation.
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Fraud_Transaction_Detection-Fraud_Finder_ID12254โฆ
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International Debt Statistics - PPG Bilateral Debt
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main_palmer_penguin_EDA_2024-project
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14
Data Scientist
(3)
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Rushikesh Sagar
Mumbai, India
"ML Engineer | RAG Pipelines ยท LLM Fine-Tuning ยท RL
New to Contra
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"ML Engineer | RAG Pipelines ยท LLM Fine-Tuning ยท RL
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Blend Cafรฉ Dynamic Pricing Recommendation Engine
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Crypto Regime Detection โ LSTM + GNN + PPO, 13 Assets
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Financial RAG System โ Fine-Tuned LLM, 100% Citation Rate
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PokerForge โ Full-Stack AI Poker Platform with PPO Bots
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Data Scientist
(3)
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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 ๐๐
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Dynamic Media Scraping Solution ๐ญ
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End-to-End Data Analytics ๐๐ป๐
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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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Iโm 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: โ 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 ๐ ๐ 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 ๐ก Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales FOR FULL PROJECT VIST GIT HUB โ( https://lnkd.in/d34sdAPz )
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Venezuelaโs Oil Reserves Analysis Dashboard ๐ 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: โ Real-time Metrics: Tracking the 390.50 Billion total barrels in reserve. โ Granular Analysis: Production capacity breakdown by reservoir name and oil grade (Extra Heavy to Light). โ 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)] Iโd 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 ๐ ๐ 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 ๐ก 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 โ( https://lnkd.in/d34sdAPz ) Feedback and suggestions are always welcome!
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Data Scientist
(1)
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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 mixโprioritizing education and inspirationโto 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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Data Scientist
(1)
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Srikanth Tangirala
Mumbai, India
Data Analyst / Data Scientist
13
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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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TechAPeek Services
Mumbai, India
๐ Transforming Data into Business Insights
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๐ Transforming Data into Business Insights
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HUMOUR DETECTION USING NLP
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Dynamic Advertisement Overlay
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Billing Management System
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