Data Science with 10+ years in Machine Learning, GenAI & Cloud AI
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Data Science Manager with ~10 years of experience in Machine Learning, commercial analytics, and Al engineering for global CPG and FMCG clients. Proven track record in people management, stakeholder management, and cross-functional team leadership - building and scaling data-driven solutions across 30+ markets on Azure. Deep hands-on expertise in Generative Al and Large Language Model (LLM) engineering, Retrieval-Augmented Generation (RAG), and agentic Al systems using LangChain and Azure OpenAl. Consistently translates complex Al outputs into measurable commercial value across multi-country engagements.
Punjab University
B.E. · Computer Science
N/A – June 1, 2016
Accenture
Data Science Manager
April 1, 2021 – Present
India
Infosys
Data Analyst → Data Scientist → AI Developer
June 1, 2016 – March 1, 2021
India
Cultural Fit Analysis
The candidate's diverse project portfolio across various industries (Telecom, CPG, Petroleum, Banking) and geographies (30+ markets, 12+ countries) indicates a high degree of adaptability and a global mindset, which is a strong cultural fit for dynamic, multinational organizations. Their progression from Data Analyst to Data Science Manager and AI Developer, coupled with experience in mentoring teams, suggests a growth-oriented and collaborative approach. The emphasis on production-grade, scalable implementations and solving real-world business problems aligns well with a results-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, stakeholder management, and cross-functional team collaboration skills through their experience managing data science teams and securing executive buy-in for complex AI solutions. Their ability to translate complex AI outputs into measurable commercial value and drive business adoption across multiple markets indicates excellent operational fit and business acumen. The detailed project descriptions highlight a problem-solving mindset and a focus on delivering tangible business impact.