Key accomplishments
Utilized Python and R to automate Excel-based analysis for application used by 500+ accounts
Developed a RASA chatbot to provide visual insights on automation across the organization
Implemented a BERT-based model for ticket type classification during audits with 90% accuracy
Created models to identify irrelevant resolution notes, perform grammar correction, and isolated sections for feedbacks
Applied random forest to predict FTE savings based on historical data
Developed Monte Carlo simulation for estimating resource occupancy, ticket backlog, and SLA predictions
Ranked in the top 10 teams out of 300 in a hackathon for creating an early warning system for loan defaulters
Trained in core Java, Powershell, Python, and IT foundations for 3 months