Subhramaniyan K Kasiviswanathan

Versatile and dynamic graduate with a completed Master's degree in Data Analytics from George Washington University, bringing a strong analytical skill set applicable across multiple roles. Experienced in technical support and project management, with a proven ability to adapt and thrive in diverse team environments.

• Big Data Using Python, Prag Robotics, 08/21, 10/21
• Data Science with R Language, 01/22, 04/22
• Machine Learning, Prag Robotics, 08/22, 10/22

LLM FOR SPORTS USING LANGUANGE CHAIN TO ANSWER REAL
Time Questions About Sports August 2025 - Dec 2025
• LLM for Sports Analytics | Capstone Project
• Built a basketball-focused LLM application to answer real-time NBA questions using natural language.
• Integrated live NBA APIs with LangChain function calling for dynamic data retrieval.
• Developed a FastAPI backend and deployed the system on AWS with GPU acceleration.
• Tested and validated the system using unit tests and real user feedback.
NYC Taxi Trip Insights Using Machine Learning                                                                         August 2025 – Dec 2025
Final Project | CSCI 6364 – Machine Learning | George Washington University

• Built end-to-end ML pipelines on NYC Taxi data using PySpark, including trip duration prediction, fare modeling, clustering, and payment classification

• Applied Random Forest, Logistic Regression, and K-Means, achieving ~93% accuracy for payment prediction

• Identified congestion hotspots and high-demand zones using time-based and spatial analysis


NYISO Electricity Consumption & Pricing Insights                                                                                       August 2024 - Dec 2024
Big Data Analytics | George Washington University

• Analyzed large-scale NYISO electricity pricing and load time-series data using PySpark

• Built models to predict electricity prices (LBMP) and forecast demand from historical patterns

• Detected price spikes and congestion effects using feature engineering and ML techniques

• Implemented scalable analytics pipelines in Google Colab with MLlib / scikit-learn

SEC Corporate Filings Insights (Graph Analytics)                                                                                               August 2024 - Dec 2024
Big Data Analytics | George Washington University
• A Processed SEC XBRL financial data (2013–2023) using PySpark / Pandas

• Modeled companies and filings in Neo4j to analyze financial health and anomalies

• Performed graph clustering and centrality analysis to identify high-risk firms and key executives

• Enabled natural-language financial queries using GraphRAG

• Tamil
• English, Fluent
• Tamil, Native

• Student Events Assistant I _Non-FWS, The George Washington University, Washington, DC, 02/24, 06/24, Performed basic administrative and logistical tasks supporting events., Scheduled events, assisted with event set up and take down, participated in the creation and/or distribution of event materials., Special projects or other duties may be assigned related to specific departmental needs.
• Assistant Graduate Advisor, The George Washington University, Washington, DC, 08/24, 12/25, Advised graduate students on academic requirements, course planning, and program milestones while ensuring compliance with university policies., Analyzed student records and coordinated advising workflows to support informed decision-making and improve operational efficiency.