Ramyashree Keshavamurthy — Operations Associate
I like to think of myself as a translator between data and decisions. With a background spanning engineering, analytics, and product development, I’ve built a career on solving messy problems, building systems from scratch, and making insights actionable. At WhiteHat Jr., I wasn’t just analyzing data—I was leading the entire User Engagement team with 3 data analysts and 6 sales managers. Together, we handled real-time ad hoc analytics, long-term data governance, and rebuilt outdated dashboards into scalable decision tools. Along the way, I automated fraud detection (cutting incidents by 54%), saved ~$10K/month by redefining KPIs, and was honored as Best Employee of the Month three times in a row. At UIC Health, I designed KPI dashboards that boosted workforce productivity by 20% and built HR analytics systems that gave leadership real-time retention and performance insights they didn’t know they were missing. Most recently, at Bosch, I collaborated with some of the sharpest minds in LLMs and RAG systems. Our capstone project—an LLM-powered metadata enrichment chatbot for enterprise knowledge management—reduced hallucinations by 64% and set benchmarks for AI-driven search. Beyond work, I’ve worn many hats: securing 20+ sponsors and drawing 1,500+ attendees for campus events, founding a technical student club, and helping NITK achieve a 97% placement rate as Placement Coordinator. (And yes, I’m also the friend who organizes the road trips, events, and house gatherings) What excites me? Product management and research at the intersection of data, AI, and healthcare. I thrive where analytics meets strategy and where curiosity turns into solutions that scale.
Stackforce AI infers this person is a data-driven professional specializing in HR analytics and AI-driven solutions.
Experience: 4 yrs 7 mos
Skills
- Hr Analytics
- Data Analysis
- Data Management
- Large Language Models
Career Highlights
- Led User Engagement team, enhancing decision-making tools.
- Automated fraud detection, cutting incidents by 54%.
- Developed LLM-powered chatbot, improving retrieval precision.
Work Experience
Bosch USA
Project Intern (4 mos)
UIC Breathe Chicago Center©
Associate HR and Operational Analyst (2 yrs 8 mos)
WhiteHat Jr
Business Analyst (1 yr 1 mo)
Central Building Research Institute (CBRI), Roorkee, Uttarakhand (India)
Research Intern (2 mos)
Addivity
Live Project intern @ Addivity InterACT (5 mos)
Marketing Communications Intern (5 mos)
Education
Master of Science - MS at University of Illinois Chicago
Bachelor of Technology - BTech at National Institute of Technology Karnataka
