Sai Charan Venna
Ai Ml Engineer @Intuit
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WORK HISTORY
Ai Ml Engineer @Intuit
US
Worked on an AI-powered expense categorization assistant for personal finance, supporting transaction classification workflows and collaborating with product teams, improving automated categorization accuracy by 8% and reducing manual review effort for finance teams.• Assisted in building and maintaining scalable data pipelines using Python, DuckDB, Polars, and Snowflake, processing over 3 million financial records, organizing structured schemas, and ensuring reproducibility and traceability for multi-team machine learning workflows.• Contributed to feature engineering using transaction amounts, dates, merchant descriptions, and basic embeddings with pandas and scikit-learn, reducing misclassification in expense categories by 6% while supporting downstream model training and evaluation.• Supported training and fine-tuning of a Random Forest classifier for transaction categorization, collaboratin with DevOps to implement CI/CD pipelines for automated model deployment and integrating interactive dashboards for finance team insights.• Helped in monitoring model performance, detecting drift, and generating alerts with simple metrics, helping analysts identify anomalies faster and improving response efficiency by 7%, while ensuring proper logging and version control of deployed models.
EDUCATION
Arkansas Tech University
Master of Science - MS, Information Technology
Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science & Technology, Chennai
Bachelor of Technology - BTech, Electronic communications engineering
ABOUT SAI CHARAN VENNA
AI/ML Engineer with 3+ years of experience designing, developing, and deploying data-driven solutions across fintech and banking domains. Strong background in machine learning, NLP, data engineering, and model lifecycle management. Experienced in building scalable pipelines, improving model performance, and ensuring reliable production deployments. Adept at collaborating with cross-functional teams to translate business requirements into impactful, compliant, and maintainable AI solutions.
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