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Areena2908/README.md

Typing SVG

🚀 About Me

I am a Data Analyst and Business Intelligence Specialist. Armed with an MS in Data Science from GWU, I specialize in transforming messy, real-world data into crystal-clear dashboards and automated pipelines that empower non-technical teams to make critical business decisions.

  • 🔭 Currently focusing on: Urban analytics, Civic Tech, and predictive business modeling.
  • 💡 Superpowers: Designing metrics that matter (KPIs), building layered data models (Bronze/Silver/Gold), and explaining the why behind the numbers.
  • 📫 Reach me at: syedareena29@gmail.com | LinkedIn

🛠️ Technical Arsenal

Python SQL R
Power BI Tableau Streamlit Excel
dbt DuckDB Pandas scikit-learn


📌 Featured Work

🥇 DistrictPulse: DC 311 Analytics

End-to-end BI platform on live government data

  • Ingested 40,000+ highly optimized records from the live DC ArcGIS API.
  • Modeled data into a layered SQL warehouse (bronze → silver → gold) with dbt.
  • Built a Power BI dashboard exposing service-response disparities.
  • Impact: Uncovered that Ward 7/8 residents wait 12+ days for services compared to 8 days in Ward 6.
Stack: Python SQL dbt DuckDB Power BI

🥈 MealCast-AI

Forecasting system for school cafeteria planning

  • Automated the parsing of messy HTML production records into clean datasets.
  • Benchmarked forecasting models (LSTM, XGBoost) to significantly improve error rates over the baseline.
  • Built an interactive Streamlit dashboard for 10-day cost forecasts and waste heatmaps.
Stack: Python PyTorch Streamlit

🥉 Customer Churn & Retention

Turning a churn model into a retention decision

  • Analyzed churn drivers on the IBM Telco dataset.
  • Used SHAP alongside classification models to explain why specific customers are at risk.
  • Packaged insights into a Streamlit ROI recommendation app.
Stack: Python scikit-learn SHAP Pandas

🎓 Team & Coursework Projects

Large-scale EDA and predictive modeling

  • LAPD Crime Data Analysis: Tableau visualizations and policy recommendations based on hypothesis testing.
  • NewsShare Predictor: Predicted article share counts on UCI datasets using Random Forest and NLP feature engineering.
Stack: R Tableau NLP

📊 GitHub Analytics

GitHub Stats Top Languages

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  1. Crime-Data-Analysis---Los-Angeles-2023- Crime-Data-Analysis---Los-Angeles-2023- Public

    Forked from varshith2233/DATS6103_Team1

    This project analyzes Los Angeles crime data from 2020 to present, aiming to identify trends and inform stakeholders, including law enforcement and policymakers, to enhance public safety measures. …

    Python

  2. MealCast-AI MealCast-AI Public

    An AI-driven forecasting model that predicts school meal production costs, optimizing budgeting and resource allocation using advanced time-series analysis.

    HTML

  3. NewsShare-Predictor-Mashable-Article-Popularity-Modeling NewsShare-Predictor-Mashable-Article-Popularity-Modeling Public

    Forked from BoiniGanesh/DATS_6101_11_Team3

    This project aims to analyze a dataset of sales transactions from a UK-based e-commerce store specializing in gifts and homewares over one year. With 500,000 rows and 8 columns, including transacti…

    HTML

  4. Customer-Churn Customer-Churn Public

    Python

  5. DistrictPulse DistrictPulse Public

    Python