🚀 I AM OPEN TO WORK AS A DATA ANALYST AND BUSINESS ANALYST - LET'S CONNECT!

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Samarth Kolge

Data Analyst

From Pune, with a Master's in Computer Science and a passion for chess. Skilled in SQL, Python, Tableau, Power BI, Excel — and proud of hands-on experience at Borgward Technology.

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Samarth Kolge

About Me

I'm Samarth Vijay Kolge, a Data Analyst from Pune with a Master's in Computer Science and a passion for chess.
Skilled in SQL, Python, Tableau, Power BI and Excel, with hands-on experience from my internship at Borgward Technology.
Currently specializing in Data Science & Machine Learning at Scaler, I’ve led impactful projects across e-commerce, entertainment and retail analytics.

Projects

CardioFlex Aerofit Treadmill Analysis

Analysis of treadmill product performance and customer behavior.

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Walmart Purchase Analysis CI and CLT

Confidence interval analysis of customer purchase data at Walmart.

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Yulu MicroMobility Hypothesis Testing

Hypothesis testing for Yulu bike-sharing service usage trends.

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Airbnb Analytics Case Study

Data-driven analysis of Airbnb property trends and pricing.

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Netflix Data Analysis Continent Strategy

Strategic analysis of Netflix content by continent for market insights.

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E-Commerce Trend Brazil Retail Store

Trend analysis of retail performance in Brazilian e-commerce.

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Certifications

SQL Certificate

Python Libraries Certificate

EDA Fundamentals Certificate

Supervised Learning Certificate

Unsupervised Learning Certificate

Advanced SQL Certificate

Problem Solving Certificate

Government Certificate

Python Basic Certificate

Python SQL Scaler Topic Certificate

Supervised Learning Extra Certificate

Achievements

Streak Achievement

Top Rank Achievement

Dashboard

Visit my Power BI dashboard showcasing key metrics and analytics of my portfolio and performance.

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Study Material

Hey fellow learners 👋, Here is my study material for data analyst role. I struggled to find good resources—so you don’t have to. Best of luck! 🌟

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Contact

Want to get in touch? Send me a message below.