About Madhav
I help PE-backed and high-growth companies unlock measurable business impact through data strategy, AI, and machine learning. With 13 years of experience leading transformations across eCommerce, SaaS, fintech, gaming, and ride-hailing in Europe, the Middle East, and Asia, I bring both breadth and depth. I’ve built and scaled data teams up to 16 people, delivered more than $70M in business impact with just one short engagement, and turned companies profitable after years of losses by embedding AI into pricing, inventory, marketing, and operations. My expertise includes AI-based dynamic pricing, demand forecasting, KPI frameworks, and AI transformation leadership. What sets me apart is my ability to bridge technical innovation with commercial outcomes: ensuring AI and data initiatives deliver ROI, not just proofs of concept. Typical projects include designing and executing data strategies, leading AI transformations, building dynamic pricing engines, and embedding analytics into business teams for lasting adoption.
English
Native or bilingual
Hindi
Native or bilingual
Punjabi
Native or bilingual
Spanish
Conversational
German
Conversational
Can work on-site
Berlin (up to 50km)
Experience
- Strategic Data & Pricing ConsultingConsultantFebruary 2025 - Today (1 year and 4 months)GermanyProviding targeted leadership expertise to high-growth companies while actively exploring permanent opportunities• Leading pricing transformation and data strategy for a €180M ARR German enterprise software provider during a SaaS transition; designing pricing models and customer segmentation frameworks projected to increase ARR by 25%.• Completed a 3-month engagement with an Indonesian fintech: delivered a full data infrastructure roadmap, established executive KPI frameworks,
- rebuy,Head of Data Science & AnalyticsJuly 2020 - January 2025 (4 years and 6 months)Berlin, Germany• Led an extensive transformation of rebuy from a reporting-centric to a data-driven organization; improving trust in data, embedding analysts into teams, enabling self-service analytics, and driving adoption of ML and GenAI tools.• Built and scaled data team of Data Scientists, Data Engineers, Data Analysts; introduced competency frameworks, career paths, and structured performance management.• Launched "data champions" program embedding analysts in commercial, operations, and marketing to strengthen collaboration and to ensure that decision making is data-driven.(Business Impact & Revenue Generation)• Launched dynamic pricing engine (2M+ SKUs), increasing availability by 45% and profit margins by 20%.• Built predictive marketing budget allocation model boosting ROAS by 12%.• Delivered customer segmentation + CLV models that improved customer retention by 7%.• Developed inventory management tool which reduced stockouts by 30% and reduced inventory holding costs.
- Careem (Uber)Senior Data Scientist – Team LeadDecember 2017 - December 2019 (2 years)Berlin, GermanyLed pricing and optimization for Middle East's largest ride-hailing platform (50M+ users, 15 cities)• Developed surge pricing model using forecasting and optimization algorithms, improving ride throughput by 8%• Optimized dispatch systems across regional markets, increasing bookings by 3% and driver billable hours by 5%• Built predictive cancellation model reducing cancellation rates by 9%, improving driver and rider experience
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Education
- Bachelor of EngineeringBITS Pilani2012Bachelor of Engineering