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Parshwa1504/README.md

Hi, I'm Parshwa Gandhi 👋

Data Analyst & Data Engineer · MS Computer Science @ George Mason University

🧠 About Me

I sit in the overlap between Data Analytics and Data Engineering — I build end-to-end pipelines that move data from messy reality into dashboards executives actually trust, and I write the SQL that answers what the business is actually asking.

  • 🎓 Graduating MS Computer Science from George Mason University in May 2026
  • 💼 Previously: ML Product Engineer Intern @ Aorbis · Software Developer Intern @ Xcellence-IT
  • 🌎 Based in the Washington DC area — open to relocation
  • 📬 Reach me at pgandhi6@gmu.edu

📊 By the Numbers

🚀  19 projects shipped across analytics & engineering
📈  10M+ records processed across AWS and GCP
⚡  50% latency reduction on LLM inference pipelines
💰  $500K+ in quantified business insights delivered

🛠️ Tech Stack

Languages : Python, SQL, R, JavaScript, Bash Data Engineering & Orchestration : Apache Airflow, dbt, Apache Spark, Apache Kafka, Mage AI Databases & Warehouses : Snowflake, Bigquery, Redshift, PostgreSQL, MySQL, MongoDB Analytics & BI : Tableau, Power BI, Looker Studio, Pandas, Numpy, Excel Cloud & DevOps : AWS, GCP, Azure, Docker, Git, Jenkins

🚀 Featured Projects

🏗️ Data Engineering

Project Stack Highlight
Stock Market ETL & Predictive Pipeline Airflow · dbt · Snowflake · Parquet Cloud ETL ingesting data for 100+ companies · ML predictions at 70% accuracy
Geospatial Data Pipeline for Taxi Analytics GCP · BigQuery · Mage AI · Looker Studio ELT pipeline processing 10M+ trips · 40% query speedup

📊 Data Analytics

Project Stack Highlight
Customer Churn Analysis SQL · Tableau · Python Found the $130K churn driver in 7,043 telecom customers
Bank Loan Portfolio Analysis MySQL · Tableau Exposed a 5x risk gap across grades in a $435.8M, 38K-application portfolio
A/B Test Statistical Analysis Python · Statistical Analysis Caught a 25.9% statistical power test — prevented a costly launch on 290K sessions
E-Commerce Cohort & RFM Analysis SQL · Power BI Segmented 96K customers across $19.7M revenue · Quantified $356K uplift opportunity
HR Analytics Employee Attrition Python · SQL · SQLite · scikit-learn · Tableau · pandas · Logistic Regression Achieved 75% model accuracy with 77% recall, identified overtime as the #1 attrition driver, and surfaced targeted retention actions projected to save $330K–$660K annually.

🤖 AI & Machine Learning

Project Stack Highlight
Credit Card Fraud Detection CatBoost · XGBoost · LightGBM Ensemble model with 80%+ detection accuracy on real-time risk scoring
Driver Drowsiness Detection System CNN · OpenCV · Keras Real-time alert system trained on 7,000+ eye-state images
AI Code Review and Security Auditor Agent Python · LLMs · NLP · Security · AI Detects critical vulnerabilities like SQL and XSS with automated remediation suggestions, improving code security at scale.

📂 See all projects → github.com/Parshwa1504?tab=repositories

📫 Let's Connect

If you've been burned by a flaky pipeline at 2 AM or watched a team argue about what a number means for an hour we should talk.

Thanks for stopping by! ⭐ any project that catches your eye.

Pinned Loading

  1. Stock-Market-ETL-Predictive-Analytics-Pipeline Stock-Market-ETL-Predictive-Analytics-Pipeline Public

    Python 1

  2. AB-Test-Ecommerce-Analysis AB-Test-Ecommerce-Analysis Public

    A/B test analysis of an e-commerce landing page redesign using hypothesis testing, power analysis, and segment analysis in Python.

    Jupyter Notebook 1

  3. Bank-Loan-Analysis Bank-Loan-Analysis Public

    Bank loan performance analysis using SQL, Python, Excel and Tableau — 38K records, MTD/MoM KPI tracking, good vs bad loan segmentation, and interactive dashboards.

    Jupyter Notebook 1

  4. Customer-Churn-Analysis Customer-Churn-Analysis Public

    End-to-end customer churn analysis using SQL, Python EDA, Risk Segmentation, and Logistic Regression to identify at-risk customers and drive retention strategy.

    Jupyter Notebook 1

  5. Ecommerce-Cohort-Revenue-Analysis Ecommerce-Cohort-Revenue-Analysis Public

    End-to-end e-commerce analysis of 96,470 orders using SQL, Python, and Power BI also used RFM segmentation, revenue trends, customer acquisition cohort analysis, and interactive dashboard.

    Jupyter Notebook 1

  6. HR-Analytics-Employee-Attrition HR-Analytics-Employee-Attrition Public

    HR analytics project analyzing employee attrition across 1,470 employees using SQL, Python, and Tableau , logistic regression model, RFM-style segmentation, and identification of top at-risk employ…

    Jupyter Notebook 1