Work Experience

• Data Scientist Intern – Supply Chain
  Tenneco (May 2023 - Sep 2023)

• Tested GPU-accelerated PyTorch inventory model, minimizing stockouts, improving turnover for 48 SKUs.

• Streamlined ROI model for freight fees in cloud infrastructure, estimating $200k annual savings across 70+ routes.

• Led Power BI project utilizing regression algorithms for buyer behavior analysis, sales increased for 2k units.

• Engineered a real-time Power BI dashboard for tracking customer return credit against prior-year sales agreements, featuring an automated alert system for sales reps. Achieved a complete cessation of untracked expenses & loss.

• Machine Learning Intern
  Auxi.AI (Jan 2023 - May 2023)

• Developed an application using Python-pptx and OpenAI's GPT-3, leveraging DaVinci and Ada models aligning with AIGC principles, autonomously crafting custom PPTs decks attuned to user needs using a Bootstrap-facilitated UI, elevating user satisfaction to 4.2/5.

• Collaborated with various business units to create features describing customer behavior from collected data. Features have been used in churn modeling and customer intervention

• Used RFM analysis to develop customer recommendation engine based on customer's spending habits

• Implemented CNN and Transformer-based image segmentation following multimodal principles for an e-commerce application, processing 100+ sketches into PowerPoint slides for Auxi.AI's add-in tool.

• Senior Software Engineer – Supply Chain
  Accenture (May 2018 - Sep 2021)

• Designed Extraction, Transform, and Load (ETL) pipeline to streamline Oracle FSCM Financial Data.

• Ingested data from data sources using a combination of SQL and web API using python

• Collected, cleaned, and provided Entity relationship diagram (ERD) of structured data using PostgreSQL

• Automated ETL processes using Airflow, making it easier to wrangle data and reducing time by 40%