About
Data Science Machine Learning professional with over a decade of experience delivering high-impact AI solutions across healthcare, supply chain, telecom, energy, and media. My expertise spans predictive modeling, Generative AI (LLMs, RAG, LangChain and Agents), and scalable ML deployments on cloud (GCP Vertex AI, Gemini Pro/Flash), driving measurable business outcomes.Over the years, I have led the full lifecycle of ML solutions—from problem framing and prototyping to deployment and monitoring—ensuring model health, maintainability, and alignment with business strategy. Keen about leveraging data responsibly, recognizing its human and contextual nature, and advocating for its ethical application to deliver meaningful, business-relevant results. 𝐊𝐞𝐲 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 ✅ Quantified model health & risk mitigation in the DC carton volume forecasting solution to safeguard against concept drift—supporting North Star metrics of <20% overtime hours and ≥98% on-time shipment, while sustaining $1M+ in annual overtime savings. ✅ Built an LLM + RAG based email classification and entity extraction solution, improving customer service operations and saving $45K annually; implemented a performance monitoring pipeline that adapted to evolving communication patterns, ensuring sustained accuracy and business relevance in production. ✅ Currently spearheading an AI agent foundation project for supply chain—automating supplier contract review, OCR extraction, clause matching, and email drafting—accelerating procurement decisions. ✅ Earlier projects include churn modeling for a telecom major (2% churn reduction), digital solar plant forecasting showcased at IEEE Summit, predictive asset maintenance publicized at IoT World Congress and designing and developing industry assets targeted for prospective clients. ► Tech Skills: Machine Learning | Time Series Forecasting | Deep Learning | LLMs | RAG | LangChain | Vector DBs (pgVector, Chroma) | Scikit-learn | XGBoost | PyTorch | FastAPI | SQL | Tableau | Python | R | Airflow | BigQuery | Vertex AI | GCP ► Soft Skills: AI Mentorship | Problem Solving | Stakeholder Engagement | Solution Design | Agile Delivery. I thrive at the intersection of applied machine learning and business impact—designing solutions that are not only accurate but resilient, explainable, and scalable. While I enjoy contributing to my current role, I am also open to exploring new strategic opportunities where I can create scalable, impactful solutions.
Work experience
Lead AI/ML Architect & Strategist at Project Worldwide, Apr 2026 - Present · 5 mos, Bengaluru, Karnataka, India, Building and Leading the strategic deployment of Agentic AI and Machine Learning frameworks across a global network to develop reusable AI capabilities that redefine brand experiences and drive business-aligned ROI.
Data Science/Machine Learning Specialist at Cardinal Health, Nov 2021 - Mar 2026 · 4 yrs 5 mos, Bengaluru, Karnataka, India, Leveraging ML and Generative AI to enhance operations in the medical and pharmaceutical business.
Data Science/Machine Learning Specialist at LTIMindtree, May 2017 - Oct 2021 · 4 yrs 6 mos, Mumbai, Maharashtra, India, One of the global Tech consulting and digital solutions company with its Analytics offering portfolio consisting of services such as Analytics Strategy Consulting, Technology Advisory & Execution, etc. cutting across major domain value chains.
Data Scientist at Acrotrend, Feb 2016 - Apr 2017 · 1 yr 3 mos, Mumbai, Offering specialist data analytics services to companies and organisations across the UK and worldwide for customer analytics
Sr. Business Analyst at Progen Business Solution, Jan 2015 - May 2015 · 5 mos, Hyderabad, Hitex city, India, Helping their customers deploy state-of-art analytics ecosystem cutting across Industry Verticals and Business Domains
