Hi, I'm

Sahil Narula

Data Analyst & ML Enthusiast

B.Tech CSE student passionate about building intelligent applications using Python, Machine Learning, and Data Analytics. I transform complex data into actionable insights.

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const developer = {
  name: "Sahil Narula",
  education: "B.Tech CSE @ GGSIPU",
  skills: ["Python", "ML", "SQL"],
  tools: ["Streamlit", "Power BI"],
  passion: "Data Analytics"
};

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About Me

🎓

B.Tech in Computer Science Engineering University of Information Communication And Technology - GGSIPU, Delhi | Expected 2027

I'm a passionate data analyst and aspiring ML engineer with hands-on experience in building end-to-end data analytics and machine learning projects. I specialize in extracting actionable insights from complex datasets and deploying intelligent web applications.

Relevant Coursework: Data Analytics, Statistics, Machine Learning, Financial Markets, Probability, Programming

Technical Skills

🐍 Python

💾 SQL

🐼 Pandas & NumPy

🤖 Scikit-Learn

📊 Power BI

📈 Matplotlib

🌐 Streamlit

📓 Jupyter Notebook

📉 Excel

3+ Projects Built

2+ Live Apps

2027 Graduating

Featured Projects

Check out some of my live projects

👥

Customer Churn Prediction System

Built an end-to-end ML pipeline using Python and Random Forest to identify high-risk churn customers. Features interactive Streamlit dashboard for real-time churn prediction, customer risk categorization, and revenue-at-risk estimation to support customer retention strategies.

Python Scikit-Learn Pandas Streamlit

Live Demo GitHub

📈

Equity Intelligence Engine

Automated stock analysis system evaluating company financial health, lifecycle stages, and market position. Implements peer comparison algorithms for key financial metrics including revenue growth and valuation ratios. Features dynamic visual analytics for actionable investment insights.

Python Financial Analysis Data Visualization Streamlit

Live Demo GitHub

📊

Sales & Operations Performance Dashboard

Interactive Power BI and Excel dashboards analyzing sales performance, revenue trends, and operational KPIs. Created dynamic visualizations to analyze regional sales performance and operational efficiency. Automated reporting processes for tracking order processing time, shipping delays, and revenue distribution.

Excel Power BI Data Visualization Analytics

GitHub

View All Projects on GitHub