Headline

Decision Scientist/ Gen AI | @Musigma | Healthcare, Retail analytics

About

Decision Scientist | Data-Driven Innovator | Stakeholder Engagement As a Decision Scientist, I thrive on transforming data into insights that drive real business impact. My career has spanned from a Fortune 100 technology retail company to a Fortune 100 pharmaceutical giant, where for the past year and a half, I’ve had the opportunity to dive deep into the intersection of data and business strategy. What excites me most is using data to uncover new opportunities and solve complex problems. Whether it's Python, SQL, Excel, or PowerPoint, I’m always eager to roll up my sleeves and deliver clear, actionable insights. My recent work with large language models (LLMs) has been particularly exhilarating, and I’ve hit the ground running in using these cutting-edge technologies to push boundaries and achieve remarkable results. With a knack for breaking down complex data for cross-functional teams and stakeholders, I believe in the power of communication to bridge the gap between data science and business impact. I’m always energized by the next challenge and eager to explore innovative ways to harness data’s potential.

Location

Tamil Nadu

AI stack

claude

hugging face

langchain

langgraph

mcp

OpenAI Agents SDK

Work experience

Decision scientist / Gen AI engineer at Mu Sigma Inc., Oct 2022 - Present · 4 yrs, Bengaluru, Karnataka, India, • Collaborated on social media monitoring projects for medical events(congresses and product launches), analyzing healthcare professionals' (HCPs) and researchers' sentiments using the Twitter API, NLP techniques, and machine learning models. • Gathered and translated stakeholder requirements into clear analytical objectives, automating data collection and sentiment analysis to deliver key insights through Excel and PowerPoint presentations. • Streamlined manual processes by leveraging sentence transformers and clustering to identify trending topics and themes, significantly boosting efficiency and insight accuracy. • Applied large language models (LLMs) to automate sentiment analysis, resulting in faster and more scalable solutions. • Designed and implemented a fully automated system for analyzing long-term medical insights (HCP and field medical conversations) using LLMs, NLP, and RAG, shifting the process from manual to automated. • Consistently worked with cross-functional teams to ensure data solutions were aligned with business goals and strategic priorities.

Machine learning data associate at Amazon, Jun 2022 - Sep 2022 · 4 mos, Remote

Data Associate at Dealsmela, Nov 2021 - May 2022 · 7 mos

Education

Bachelor of Engineering - BE, Electrical and Electronics Engineering, SNS College of Technology