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PritamLodha/README.md

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🧑‍💻  Who Am I?


🎓  B.Tech Computer Science & Engineering student passionate about the power of data to drive real-world decisions.

📊  I specialize in exploratory data analysis, building interactive dashboards, and turning messy datasets into clean, actionable business insights.

🧠  My approach: question everything, visualize clearly, communicate simply.

🛠️  I work across the full analytics pipeline — from raw data wrangling with Pandas & SQL to visual storytelling with Power BI & Seaborn.

🌱  Currently deepening my skills in Statistics for Data Science, DAX formulas, and ML fundamentals.

⚡  Fun fact: I find debugging a messy dataset more satisfying than solving a puzzle 🧩


🏠  Based in India 🇮🇳      💼  Role Aspiring Data Analyst
🎓  Education B.Tech CSE   💬  Ask me about Python · SQL · Power BI
📧  Email lodhapritam22@gmail.com   🔗  LinkedIn pritam-lodha



🛠️  Tech Stack & Tools

🐍 Languages & Query      
📦 Analysis & Processing      
📊 Visualization        
🚀 Deployment  
📁 Productivity    
🔧 Dev Tools      

🚀  Featured Projects

💳  Loan Risk Intelligence System

   

End-to-end credit risk platform on 2M+ LendingClub records. Builds a FICO-style scorecard (300–850), 4-tier risk segmentation, and Expected Loss (PD × LGD × EAD) calculation.

Stack: Python Scikit-learn SMOTE Streamlit Pandas

🔗 Live Demo →

📉  Customer Churn Prediction

   

ML pipeline predicting telecom customer churn. Benchmarks 4 models, handles class imbalance with SMOTE, and delivers risk segmentation with actionable retention strategies.

Stack: Python Random Forest GridSearchCV Pandas Seaborn

🛒  Walmart Sales Intelligence Dashboard

   

Analyses 421K rows of weekly Walmart sales data (2010–2012). Features SQL queries, Python EDA, and a fully interactive HTML/CSS/JS dashboard with store-type filters and holiday lift analysis.

Stack: Python SQL SQLite Pandas Chart.js HTML/CSS/JS

🔗 Open Dashboard →

📚  Currently Learning

Skill Progress Level
🟦 Advanced SQL & Window Functions ████████░░░░ 70% Intermediate
🟨 Power BI DAX & Data Modeling ███████░░░░░ 60% Intermediate
🟩 Statistics for Data Science ██████░░░░░░ 50% Beginner+
🟥 Machine Learning Fundamentals ████░░░░░░░░ 35% Beginner
🟪 Tableau ████░░░░░░░░ 35% Beginner

📈  GitHub Stats


🤝  Connect With Me


        



💬  Always happy to connect, collaborate on data projects, or just talk analytics. Let's build something together!




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  1. loan-risk-analysis loan-risk-analysis Public

    Credit risk pipeline on 2M+ loan records — ROC-AUC 0.97, FICO-style scorecard, risk segmentation, and live Streamlit app.

    Python

  2. customer-churn-prediction customer-churn-prediction Public

    Predicting telecom customer churn using Random Forest — SMOTE, risk segmentation, and business insights.

    Python

  3. walmart-sales-dashboard walmart-sales-dashboard Public

    End-to-end data analyst portfolio project — SQL · Python · Interactive Dashboard

    HTML

  4. PritamLodha PritamLodha Public