2-paragraph first-person bio, friendly tone

Naveen Mandula

2-paragraph first-person bio, friendly tone

Available to hire

2-paragraph first-person bio, friendly tone

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Senior Data Scientist / Senior AI/ML Engineer at UPS
February 1, 2022 - Present
Architected route optimization platform using reinforcement learning and operations research for 100K+ daily routes; developed package volume forecasting with LSTM and XGBoost; built generative AI customer service assistant using GPT-4, LangChain, and RAG with FAISS for large-scale inquiries; deployed models on AWS SageMaker and ROS2-based robotics platform; implemented AI-driven hub operations optimization, dynamic pricing, and driver safety analytics; established secure enterprise integrations and AI observability.
Senior Data Scientist at Visa
May 1, 2019 - January 31, 2022
Engineered real-time fraud detection platform using deep learning and ensemble methods; developed transaction authorization optimization and merchant risk assessment; architected payment network analytics on GCP (BigQuery, Vertex AI, Dataflow); built customer spending analytics, chargeback prediction, and cross-border transaction monitoring; designed MLOps infrastructure and automated evaluation frameworks; developed domain-specific conversational agents and SQL-generation capabilities.
Machine Learning Engineer at General Electric (GE)
July 1, 2016 - April 30, 2019
Built predictive maintenance platform for industrial equipment using ML and IoT sensor analytics; developed energy production optimization and quality control models using CV and statistical methods; designed supply chain demand forecasting and aviation fuel efficiency models; created digital twin simulations and spare parts optimization; established model monitoring and scalable data infrastructure; produced Tableau dashboards for operations and service teams.
Data Scientist at Abbott Laboratories
August 1, 2013 - June 30, 2016
Developed medical device quality prediction models and statistical process control; built demand forecasting for pharmaceuticals and devices; conducted clinical trial analytics and regulatory-supportive analytics; designed lifecycle analytics, provider segmentation, warranty/predictive analytics, and automated ETL pipelines; architected enterprise data warehouse and dashboards for manufacturing quality and commercial performance.

Education

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Qualifications

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Industry Experience

Healthcare, Financial Services, Software & Internet, Manufacturing, Transportation & Logistics