Apr 2025 – Jul 2025 · 3 mos

• GenAI:
• 1. Gen AI opportunity identification for growth and productivity improvement for one of the largest Telco players of India.
• Growth (Consumer):
• 1. B2C and B2B growth strategy and implementation for one of the largest engine oil & lubricants player in India - $6Mn+ EBITDA impact in one year, roadmap of $50Mn+ in 4-5 years
• 2. Worked with S&OP team to develop sales team expansion plan for one of the largest consumer brands of India, 8+ states, 400+ manpower.
• Due Diligence:
• 1. Market scan due diligence for a M Eastern PE with modern trade portco., suggested 5+ potential partners, value prop. & operational strategies
• 2. Operational due diligence for PE acquisition opportunity of a top pharma player in India, $2Bn+ Revenue
• 3. Commercial due diligence for PE acquisition opportunity of a top cardiac accessory player in India, $8Mn+ Revenue
• 4. Commercial due diligence for PE acquisition opportunity of a top IVF player in Middle East
• Cost Optimization:
• 1. Procurement cost optimization opportunity identification worth $60M+ across 7+ levers in leading global pharma co, 3+ geographies

Oct 2023 – Apr 2025 · 1 yr 6 mos

Apr 2022 – May 2022 · 1 mo · Mumbai, Maharashtra, India

Jan 2021 – Jun 2021 · 5 mos

• Sports Analytics:
• 1. Reduced MoM churn by 200 bps for 'Big Four' sports league, executed 3 retention campaigns
• 2. Attained fraud savings of $5.5M p.a., American retailer, devised real-time checks for 4 banners
• 3. Managed critical client projects, led 3 memb. intl. team for 4 mths, recd. positive client reviews
• 4. Segmented 100K+ user base into 4 cohorts using K-Means Clustering, for efficient targeting
• 5. Designed ETL process to integrate TV viewership datasets with 1M+ obs. into client's cloud DB
• 6. Conceptualised dashboard suite with 450+ KPIs, consumed by client CXOs for 360 view of biz
• Fraud Analytics:
• 1. Saved 1500+ FTE days for Ops. team, created mass approval tool to dec. review queue by 30%
• 2. Minimized turnaround time by 50% for online orders, optimized 50+ fraud rules in client's OMS
• 3. Liaised with client VPs & SVPs of 5+ biz. divisions, defined short & long-term project objectives
• 4. Collaborated with 50+ member Operations team, developed 10+ KPIs for reviewer performance
• 5. Performed A/B testing expt. on 50K+ users, established strategy efficacy with 95%+ confidence

Jul 2019 – Jan 2021 · 1 yr 6 mos

Jul 2018 – Jul 2019 · 1 yr

May 2017 – Aug 2017 · 3 mos · University of Saskatchewan

• Changing climate study using MESH model over Nelson Churchill Basin

May 2016 – Jul 2016 · 2 mos · Indian Institute of Science, Bangalore

• Trend Analysis of precipitation data of India