Shounak Kulkarni
Machine Learning Engineer @Wells Fargo
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WORK HISTORY
Machine Learning Engineer @Wells Fargo
Boston, MA, US
Optimized SQL and PySpark pipelines for agent and team performance analytics, reducing query latency by 40% and standardizing reporting across 10K+ records.• Built Python automation and data validation frameworks for financial and operational data, improving reporting accuracy by 30% and enabling root cause and exception analysis.• Designed Tableau dashboards integrating financial, operational, and customer data to support KPI monitoring and benchmarking for 15+ business units.• Developed Python–Streamlit applications for ML experiment tracking and model evaluation, increasing analytical throughput by 40%.• Implemented semantic retrieval pipelines using AWS DynamoDB and Pinecone, enabling automated analytics across 20K+ structured and unstructured documents.
EDUCATION
UMass Boston
Master of Science - MS, Business Analytics: Big Data
Vishwakarma Institute Of Technology
Bachelor of Technology - BTech, Computer Science
ABOUT SHOUNAK KULKARNI
Data & AI professional with a strong academic foundation in computer science and hands-on experience in data analytics and machine learning fundamentals. Educated in core areas including data structures, databases, statistics, and artificial intelligence, with practical exposure to applying these concepts in real-world problem scenarios.Professional experience includes working on data-driven and AI-focused initiatives involving data analysis, preprocessing, and model development. Proficient in using Python and SQL to extract, clean, and analyze data, as well as supporting machine learning workflows for prediction and recommendation use cases.Experienced in translating analytical requirements into structured solutions, collaborating across teams, and maintaining high standards for data accuracy and documentation. Demonstrates strong analytical thinking, attention to detail, and a continuous learning mindset.Actively seeking opportunities in data analytics, AI, or technology-driven roles where technical expertise, analytical skills, and a solid educational background can contribute to meaningful business outcomes.Core Competencies:Python | SQL | Data Analysis | Machine Learning Fundamentals | AI Concepts | Recommendation Systems | Problem Solving | Communication
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