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satya192002/README.md

Hi there, Satya Prakash Rai 👋

About

I am a final-year B.Tech student in Mining Engineering at Indian Institute of Technology (Indian School of Mines), Dhanbad (CGPA: 8.04). Passionate about turning data into actionable insights, I build end-to-end analytics solutions using Python, SQL, Power BI, and Streamlit.

Education
• B.Tech Mining Engineering – IIT(ISM) Dhanbad (Nov 2021 – May 2025)

Experience
• Research Intern – IIT(ISM) Dhanbad (Dec 2024 – Mar 2025)
Predicted optimum chain pillar length at high depth using Machine Learning. Analyzed 1,296 mining records with Pandas, NumPy & Seaborn; performed EDA, correlation analysis & outlier removal.
• BCG X Data Science Job Simulation (Mar 2026)
Reduced false churn predictions from 27% to 67% using Random Forest. Optimized discount targeting, boosting retention benefit 2.8× to $6,614.

Projects
• End-to-End Marketing Analytics Pipeline – Python, SQL, Power BI
• Inventory & Supply Chain Analytics Dashboard – Python, SQL, Streamlit, MySQL
• Global Development Analytics Dashboard – Python, REST API, Power BI

Technical Skills
Languages: Python, SQL
Databases: MySQL, PostgreSQL
ML Libraries: Scikit-learn, NumPy, Pandas, Seaborn, Matplotlib
Tools: Power BI, Streamlit, Advance Excel, VS Code, Jupyter Notebook

Certifications & Achievements
• Solved 250+ SQL questions on LeetCode, DataLemur, StrataScratch & HackerRank
• Udemy – Python for Data Science and Machine Learning Bootcamp
• Microsoft Excel – Beginner to Advanced with Data Analysis and AI
• 98.5 percentile in JEE Main 2021 | Top 12K in JEE Advanced 2021 (Top 1.5%)

Reach me at: satya19112002@gmail.com

LinkedIn
Instagram

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  1. BCG-Customer-Churn-and-Energy-Consumption-Analysis BCG-Customer-Churn-and-Energy-Consumption-Analysis Public

    BCG Data Science project testing price sensitivity as a churn driver for a UK energy utility — featuring RFM-style feature engineering, SMOTE-balanced Random Forest modelling, and a probability-cut…

    Jupyter Notebook

  2. Globel-development-Analytics-Dashboard Globel-development-Analytics-Dashboard Public

    Automated World Bank API pipeline fetching 26 development indicators across 217 countries and 7 domains (economic, health, poverty, trade, environment, labour, technology) — visualized in an intera…

    Jupyter Notebook

  3. Shopeasy_Marketing_Analysis Shopeasy_Marketing_Analysis Public

    End-to-end marketing analytics pipeline using SQL Server, Python (VADER NLP), and Power BI — analyzing customer journey funnel conversion, social media engagement, and sentiment-enriched product re…

    Python

  4. Inventory-Supply-Chain-Management-Dashboard Inventory-Supply-Chain-Management-Dashboard Public

    Python

  5. Invoice-Fraud-Detection-and-Freight-Prediction Invoice-Fraud-Detection-and-Freight-Prediction Public

    Jupyter Notebook

  6. Credit-Risk-Modelling Credit-Risk-Modelling Public