Omprakash Vallapu
Data Scientist | Machine Learning, Generative AI & LLM Applications (RAG, NLP) | Python, SQL, GCP
- Role
- Data Scientist at Northern Trust
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Omprakash Vallapu
Data Scientist with 3+ years of experience building and deploying machine learning and Generative AI solutions using Python, SQL, and modern ML frameworks. Experienced in risk analytics, predictive modeling, anomaly detection, and scalable data pipelines across finance and technology domains.Currently at Northern Trust, I work end-to-end—from data exploration and feature engineering to model deployment, monitoring, and executive dashboards—collaborating closely with cross-functional teams in Agile environments.Strong interests include NLP, LLM-based applications (RAG, semantic search), and building data-driven solutions that deliver measurable business impact.
Experience
Data Scientist
Jan 2025 — Present · US
Developed production-grade machine learning models (classification, risk scoring, anomaly detection) using Python, SQL, scikit-learn, XGBoost, and LightGBM, improving portfolio risk signal accuracy by 18%.• Engineered ETL and feature pipelines using GCP BigQuery and Cloud Storage to process 10M+ trade, holdings, and market records, enabling scalable downstream analytics.• Performed EDA and statistical analysis to identify correlations and key risk drivers, contributing to earlier detection of portfolio exposure and operational anomalies.• Deployed ML models using GCP AI Platform, batch inference pipelines, and REST APIs, integrating with enterprise analytics platforms and recurring reporting workflows.• Designed executive-level dashboards in Tableau and Power BI, reducing manual reporting effort by 30% and improving KPI visibility for senior stakeholders.• Collaborated with portfolio managers, risk teams, and engineering partners in Agile/Scrum environments to deliver iterative, production-ready solutions.• Implemented model monitoring and validation pipelines, ensuring performance consistency and timely retraining triggers.• Optimized model training workflows using cloud-based compute resources, reducing training time by 20% and enabling faster experimentation.
Education
Jawaharlal Nehru Technological University Hyderabad (JNTUH)
Bachelor of Technology - BTech
Florida Atlantic University
Master's degree
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