I'm Nikhil Kudupudi — transforming complex data challenges into scalable ML pipelines. Currently pursuing my Master's at Northeastern, previously engineering fintech solutions at KFin Technologies.
GPA at NEU
Faster Decisions
Records Daily
Years Experience
The Journey
Deepening expertise in machine learning, statistical modeling, and MLOps. Building end-to-end systems that bridge data engineering fundamentals with intelligent automation.
Designed ETL workflows powering forecasting systems. Created dashboards that cut decision time by 40% — realizing the power of data-driven insights and wanting to push further into ML.
First exposure to data at scale. Automated collection and cleansing processes, reducing analyst workload by 25%. This sparked my passion for building systems that transform raw data into actionable insights.
Selected Work
End-to-end streaming pipeline with dynamic topic ingestion, sentiment analysis, and multi-platform visualizations for actionable market insights.
Scalable, Dockerized NLP chatbot with configurable content sources. GCP-native architecture with orchestrated pipelines and real-time retrieval.
PRAW-powered ETL processing thousands of daily records with AWS infrastructure, automated cataloging, and BI-ready analytics tables.
Modular forecasting pipeline with automated feature engineering, multiple model variants, and anomaly detection for market trend analysis.
Comprehensive analytics workflow identifying high-risk customers through EDA, feature analysis, and interactive dashboards for retention strategies.
Backend system for applicant onboarding with Google APIs, DocuSign flow automation, document status tracking, and automated email alerts.
Toolkit