📍 Washington, D.C. | 📊 Data Analytics | 🌍 Energy, Climate & Sustainability | 💻 Dash & R Shiny
📧 tarun.kumanduri99@gmail.com | LinkedIn
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Hello! 👋 I’m Tarun Kumanduri, a Graduate Research Assistant at The George Washington University, pursuing an M.S. in Data Analytics. I specialize in big data processing, predictive modeling, and interactive dashboards to solve real-world problems in climate, energy, finance, and mobility.
🔬 My research applies machine learning, PySpark, and geospatial analytics to uncover insights in environmental science, energy markets, and finance. I build full-stack applications for real-time data visualization and decision-making.
- 🌍 Climate & Sustainability Analytics – Built a nitrogen flow model for the Chesapeake Bay Region
- ⚡ Energy & Grid Forecasting – Predicted electricity demand & price spikes in NYISO
- 📊 Big Data & Predictive Analytics – Analyzed NYC taxi demand & Fannie Mae loan risk factors
- 🏗️ Full-Stack Dashboards – Developed data-driven web apps in Python Dash & R Shiny
🔹 NYISO Electricity Market Analysis (PySpark & ML)
📌 Key Insights: Forecasted electricity prices & demand, detected anomalies in grid congestion, and built LSTM models for load prediction using PySpark & TensorFlow.
🔹 NYC Taxi Trip Data Analysis (ML & PySpark)
📌 Key Insights: Modeled taxi demand patterns, predicted trip durations, and performed geospatial clustering of pickup hotspots using PySpark & Scikit-learn.
🔹 SEC Filings Analysis (Neo4j & PySpark)
📌 Key Insights: Used graph-based AI techniques to extract financial insights from SEC filings, leveraging Neo4j & PySpark.
🔹 Fannie Mae Loan Risk Analysis (PySpark)
📌 Key Insights: Assessed loan default risks, predicted delinquencies, and visualized loan performance trends using big data processing with PySpark.
🔹 Nitrogen Flow Model for Chesapeake Bay
📌 Key Insights: Developed a data-driven model to track nitrogen loss, aiding sustainability planning for Chesapeake Bay restoration.
🔹 Social Vulnerability & Environmental Justice Dashboard
📌 Key Insights: Created an interactive survey-based tool to measure environmental justice & social vulnerability using Dash & geospatial analytics.
🔹 NREL Energy Data Processing
📌 Key Insights: Built high-performance data pipelines to process renewable energy datasets from NREL using PySpark & Pandas.
🔹 Chesapeake Bay Nitrogen Loss Dashboard
📌 Key Insights: Designed a real-time dashboard tracking agricultural nitrogen loss trends, supporting USDA 2030 and 2050 goals.
- 📄 Urban Giants Under Threat: Climate Vulnerabilities & Adaptive Strategies in Megacities – AGU Conference 2024
- 📑 A Systems Approach to Understanding Nitrogen Loss – CESUN 2025 Accepted Paper
- 🤖 Design & Deployment of a Smart Chatbot using Emerging Technologies
- Finance Director, GW Desis Student Organization – Managing finances for a 350+ member Indian graduate student community
- Digital Marketing Director, Google Developer Student Club GWU – Organized tech events for 150+ students
- Volunteer, The Art of Living Foundation – Led mindfulness workshops at USC, GWU, Babson, IIT Hyderabad, NIFT Hyderabad
🔗 LinkedIn: linkedin.com/in/tarunkumanduri
📧 Email: tarun.kumanduri99@gmail.com
📂 GitHub: github.com/TarunKumanduri1