Sreechandana Macharapu
@sreechandanamacharap
I build generative AI, fraud detection, and data pipelines for secure financial applications.
United StatesWhat I'm looking for
At Barclays, I build generative AI workflows for financial document and transaction analysis, supporting fraud indicators, compliance automation, and enterprise review processes. I develop Python and SQL pipelines, embeddings, retrieval workflows, and agentic AI applications using AWS SageMaker, Lambda, Docker, CI/CD, and Model Context Protocol.
Previously at Mastercard India, I built Python and PySpark pipelines for payment transaction data and trained fraud detection models with XGBoost, Random Forest, and Logistic Regression. My feature engineering and model refinement improved fraud detection accuracy by 14%, while Docker, Kubernetes, and Kafka-based inference services reduced prediction response time by 28%.
I'm focused on secure, scalable AI systems across the full lifecycle: data engineering, model development, deployment, monitoring, and optimization.
Experience
Work history, roles, and key accomplishments
Developed generative AI solutions for financial document analysis and transaction monitoring, improving fraud detection and compliance automation. Built Python and SQL data pipelines, enhancing data quality by 11% and reducing manual review time by 5%.
Developed Python and PySpark data pipelines for payment transaction processing, implementing ETL workflows for fraud detection. Trained and deployed machine learning models, improving fraud detection accuracy by 14% and reducing prediction response time by 28%.
Education
Degrees, certifications, and relevant coursework
University of Massachusetts Boston
Master of Science, Business Analytics
2024 - 2025
Pursuing a Master of Science in Business Analytics at the University of Massachusetts Boston.
Jawaharlal Institute of Technology Kakinada
Bachelor of Technology, Mechanical Engineering
2018 - 2022
Earned a Bachelor of Technology in Mechanical Engineering from Jawaharlal Institute of Technology Kakinada.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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