Architecting robust systems that transform complex data into intelligent, actionable products.
For me, Data Science is about building things that matter. I don’t just look for patterns; I build end-to-end products that deliver real impact. Whether developing predictive models for the Center for Community Resilience or analyzing billions of records for NYC Taxi Insights, I ensure every solution I engineer produces actionable value.
I also have a deep passion for Generative AI and am actively exploring roles in this space. I love pushing boundaries in hackathons—recently winning one with HealthTriage AI, where I leveraged GPT-4 to revolutionize symptom tracking. It’s about using the latest tech to craft unique, problem-solving products.
Analyzed billions of records (2012-2023) using PySpark & MLlib to predict trip duration and demand hotspots.
Uncovering corporate relationships using Neo4j and GraphRAG for financial insights.
Streaming price anomaly detection & forecasting (91% R²) with PySpark Structured Streaming.
Professional platform with GPT-4 symptom tracking (99.2% accuracy) and telehealth integration.
Fannie Mae Mortgage risk modeling & default prediction (2000-2023).
Enterprise analytics with classifier-driven query routing & RBAC security.
Gamified learning platform with 3D knowledge graphs and "Learning DNA" profiles. Personalized curriculum pathways.
Soul-bound NFTs for verified academic credentials and research access.
Advanced text analysis pipeline utilizing Transformer models for sentiment detection and entity recognition.
Automated prompt optimization platform designed to enhance LLM responses and manage context windows.
Mission Operations Dashboard for the Virtus Solis Molniya constellation. Features real-time telemetry, orbital propagation (SGP4), and energy beaming analytics.
AI-powered interview platform featuring a Dual-Brain architecture (Mistral-7B & Gemini) for complex logical reasoning.
Executive dashboard featuring ML-driven ticket classification and high-fidelity violet-themed visualizations.
Active involvement in professional organizations that enhance my skills and contribute to the community.
The Google Developer Student Club (GDSC) at George Washington University is open to all students interested in learning about what it means to be a developer. We bridge the gap between theory and practice with industry developer tools.
DSSD is committed to bridging the technical gap for nonprofit and humanitarian organizations. We use data science and GIS to accelerate and drive sustainable development, showing organizations the power of data science through analysis and visualizations.
Master of Science in Data Analytics
2024 - 2026 | Washington, DC
Computer Science & Engineering
2019 - 2023
Open for collaborations and new opportunities.
Direct Email: jagannathn@gwmail.gwu.edu