Hi, I'm Abhishek
Data Analyst skilled in Python, SQL, Power BI, Statistics, and Machine Learning, focused on uncovering insights, building dashboards, and solving real-world business problems.
Abhishek Kumar

About

I am a B.Tech Information Technology student at Maharaja Surajmal Institute of Technology with a strong interest in Data Analytics, Business Intelligence, and Decision Science. I work across exploratory data analysis, hypothesis testing, predictive modeling, and classification using Pandas, NumPy, and Scikit-Learn, and build dashboards in Power BI and SQL. I enjoy taking projects end-to-end — from cleaning messy data to delivering insights stakeholders can act on — whether that's reducing customer churn, running A/B tests on marketing campaigns, or detecting fraud through funnel analysis. I'm currently looking for Data Analyst, Business Analyst, and Analytics internship opportunities.

Work Experience

Education

Skills

PythonPython
SQLSQL
Power BIPower BI
pandasPandas
NumPyNumPy
MatplotlibMatplotlib
Statistical ModelingStatistical Modeling
REST APIREST APIs
AWSAWS
Featured Work

Projects that moved the numbers

A look at my analytics work — from churn modeling to A/B testing and fraud detection, each project tackles a real business problem with data.

Telecom Customer Churn Analysis
GitHubSource

Telecom Customer Churn Analysis

Analyzed 7,032 customer records to identify churn drivers. Found that month-to-month users had a 42.7% churn rate, flagging $1.93M in monthly revenue at risk. Built a churn prediction model achieving 80% recall.

Python
Pandas
Scikit-Learn
Matplotlib
Marketing Campaign A/B Testing
GitHubSource

Marketing Campaign A/B Testing

Analyzed 365 days of marketing campaign data and found Facebook generated 96% higher conversions than other channels. Built a regression model with 76.35% R² and delivered budget optimization recommendations.

Python
Statsmodels
SciPy
Pandas
Credit Card Spend Intelligence & Funnel Analysis
GitHubSource

Credit Card Spend Intelligence & Funnel Analysis

Analyzed 284,807 transactions to identify fraud patterns, finding fraud peaks between 2–3 AM. Built a risk segmentation model and created an interactive Power BI dashboard, uncovering a critical retention drop-off at Month 6.

Python
SQL
SQLite
Power BI

Achievements

5-Star SQL Badge — HackerRank

Earned the top SQL proficiency rating on HackerRank, reflecting strength in complex queries, joins, and optimization.

3rd Place — Saleable Business Pitch 2024

Recognized for presenting a data-backed, market-ready business pitch in a competitive evaluation round.

Hashacks Hackathon — Finalist

Finalist at Hashacks Hackathon, Delhi University.

Contact

Get in Touch

Want to chat? Feel free to reach out via email or send me a message on X and I'll respond whenever I can.

GitHub
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