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RitvikShetty17/README.md

Hi, I'm Ritvik Shetty πŸ‘‹

Data Analyst Β· Data Engineer Β· Quality Analyst Β· MS Computer Science β€” Illinois Institute of Technology
Turning raw data into decisions through SQL, Python, and BI tools.


πŸ‘¨β€πŸ’» About Me

  • πŸŽ“ M.S. Computer Science graduate from Illinois Institute of Technology, Chicago
  • πŸ“Š Experienced in building ETL pipelines, KPI dashboards, and ML-powered analytics
  • πŸ₯ Domain experience in healthcare data, nonprofit/grant data, and retail analytics
  • πŸ” Actively seeking roles in Data Analytics, Business Intelligence, Data Engineering, and Quality Assurance
  • 🌎 Open to relocate anywhere in the United States

πŸ› οΈ Tech Stack

Languages & Querying

Python SQL PostgreSQL MySQL TypeScript

Data & Analytics

Pandas NumPy Scikit-Learn Plotly Streamlit

BI & Visualization

Power BI Tableau Excel

Data Engineering & Cloud

dbt BigQuery AWS Supabase SQLAlchemy

Data Quality & Testing

Great Expectations ISTQB HIPAA

AI & Integrations

OpenAI Slack dotenv


πŸ“‚ Featured Projects

Project Description Stack
πŸ” AI Data Quality Monitor Automated pipeline that profiles 2.96M NYC taxi records, runs 22 GE validation checks, and uses GPT-4o to explain failures with root cause analysis Python, Great Expectations, GPT-4o, Streamlit
⚽ ValueScout Player similarity engine that finds cheaper statistical alternatives to any Ligue 1 player using xG/xA data + Transfermarkt values Python, PostgreSQL, Streamlit
πŸ“‰ Customer Churn Prediction ML model + Streamlit app to predict telecom churn with actionable retention insights Python, Scikit-Learn, Streamlit Β· πŸš€ Live App
πŸ›’ Superstore Sales Analysis End-to-end BI case study with SQL queries and an interactive Power BI dashboard SQL, Power BI
🦠 COVID-19 Data Analysis Global EDA across 187 countries with KPI metrics (recovery rate, death rate, weekly trends) and Excel dashboard Excel, EDA
⚽ EPL Data Analysis SQL + Tableau dashboard analyzing team & player performance across the 2020–21 EPL season SQL, Tableau

πŸ’Ό Experience Highlights

  • PurposeTech AI β€” Built TypeScript ETL pipelines extracting UK grant data from 360Giving & Charity Commission APIs across 6 database tables; reduced unmapped focus areas from 837 β†’ 0
  • GlobalStratos β€” Designed KPI dashboards with Supabase backend for real-time business intelligence
  • Quality Kiosk Technologies β€” QA testing and HIPAA compliance certification for healthcare applications

πŸ“œ Certifications

  • πŸ… Google Data Analytics Professional Certificate
  • πŸ… ISTQB Foundation Level (CTFL)
  • πŸ… HIPAA Compliance Certification
  • πŸ… SQL & Python β€” Verified Proficiency

πŸ“Š GitHub Stats


Open to Data Analyst, Business Analyst, Data Engineer, and Quality Analyst roles across the US Β· Available on OPT Β· Willing to relocate

Popular repositories Loading

  1. Covid-19-Data-Analysis Covid-19-Data-Analysis Public

    This project involves detailed analysis of COVID-19 data sourced from a globally recognized database. The dataset includes country-level breakdowns of total cases, recoveries, deaths, and new cases…

  2. Store-Sales-Analysis Store-Sales-Analysis Public

    The Superstore Sales Analysis project is a comprehensive business intelligence case study that focuses on uncovering trends, patterns, and insights from a retail sales dataset. This project simulat…

  3. Customer-Churn-Prediction-Analysis Customer-Churn-Prediction-Analysis Public

    This project analyzes customer churn behavior for a telecom company using Python. The goal is to identify why customers are leaving and to build a machine learning model to predict churn in advance…

    Jupyter Notebook

  4. EPL-Data-Analysis EPL-Data-Analysis Public

    This project presents an interactive Tableau Public dashboard that analyzes team and player performance in the English Premier League (EPL). Using data from the 2023–24 season, the dashboard offers…

  5. portfolio portfolio Public

    Portfolio

    CSS

  6. ai-data-quality-monitor ai-data-quality-monitor Public

    Automated data quality monitoring system with AI-powered anomaly explanations using Python, Great Expectations, and OpenAI API

    Python