Shantesh Patil
Director - Platform economy / Central revenue and planning
Bengaluru
Summary
Seasoned data analytics and growth leader with 10+ years of experience driving business impact through data-informed decision-making, customer retention strategies, and cross-functional leadership. Proven track record of building high-performing analytics teams, delivering end-to-end solutions across e-commerce, consumer tech, and retail, and translating complex data into actionable insights. Expert in developing and scaling retention frameworks that boost customer lifetime value, engagement, and revenue. Recognized for innovative thinking and a passion for leveraging data to optimize product experiences and fuel sustainable growth.
Overview
10
10
years of professional experience
Work History
Director of Revenue Management
MPL
Bangalore
08.2019 - Current
- Developed and executed comprehensive revenue management strategies to optimize pricing and LTV across diverse portfolios and market segments.
- Implemented data-driven insights to enhance profitability and maximize revenue streams, resulting in an 84% increase in margins.
- Built the analytics and reporting infrastructure at MPL from the ground up, including establishing a robust data warehouse and defining company-wide key performance metrics aligned with strategic goals.
- Scaled 2 new geographies to profitability (at scale) and also built a playbook to launch and scale any new geography
- Hired and led high-performing teams across analytics and revenue management, nurturing talent that went on to become some of the company’s top performers—owning and leading critical, high-impact projects across the organization.
- Setup revenue reporting and control across the company to ensure no revenue leakage and recovered $3.4M in the same process.
- Currently building a multi currency economy at MPL to drive engagement and margin retention through engaging pricing loops while ensuring a quantified opportunity gain/loss measurement at each step through A/B framework
- Led cross-functional teams to execute large-scale platform sale events, enabling systematic campaign scale-ups and contributing to significant growth in user acquisition and revenue.
- Optimized pricing models and implemented dynamic pricing and cross country match making techniques based on regional spending power and competitive dynamics, leading to improved match rates and reducing time to scale in international markets.
- Established robust revenue reporting and forecasting processes for international operations, providing accurate insights to senior leadership for strategic decision-making.
Business Intelligence Engineer
Increff
Bangalore
12.2017 - 08.2019
- Designed and built end-to-end reporting systems for an in-house Warehouse Management System (WMS) and merchandising platform, improving decision-making and visibility across operations.
- Developed a sales-pattern-based merchandise segmentation model to automatically classify products into core and bestsellers, enabling a 30% improvement in inventory optimization.
- Created automated dashboards that surfaced weekly store-level sales outliers, providing regional heads with real-time, actionable insights to address underperformance.
- Spearheaded reporting automation initiatives that reduced manual workload and increased report accuracy and timeliness.
Business Intelligence Consultant
Data Semantics / Aroha Technologies
Bangalore
06.2015 - 12.2017
- Developed and implemented a predictive model to identify accounts receivable (AR) customers at risk of overdue payments, allowing the collections team to proactively target high-risk clients.
Result: Reduced AR overdue rate from 50% to 23% over six months. - Built and evangelized a KPI tree dashboard for the finance team, aggregating key financial metrics into a single, drill-able interface.
Enabled finance business partners to trace the root causes of quality index variances from a high-level view down to transactional details. - Collaborated closely with finance stakeholders to define metric hierarchies, implement automated data pipelines, and improve business visibility.
Education
Post Graduate Diploma - Business Analytics And Data Science
INSOFE
Bengaluru, India 04.2001 -
Bachelor of Engineering - Computer Science
VTU
Vijayapura / Belgaum 04.2001 -
Skills
- Revenue Management: Pricing Strategy, Yield Management, Demand Forecasting, Revenue Analysis, Inventory Management, Budget Management, Performance Management
- Data Analysis & Tools: Excel , SQL (Expert), Tableau, PowerBI, Python, Advanced analytics, Machine learning algorithms, data warehousing, data management
- Platform Strategy & Growth: Retention Strategy, Cross-Selling & Upselling, Feature Development, Innovation Roadmapping, Financial Planning, Goal Setting
- Leadership & Communication: Team Building, Cross-functional Collaboration, Mentoring, Coaching, Negotiation, Problem Solving, Presentation Skills
Timeline
Director of Revenue Management
MPL
08.2019 - Current
Business Intelligence Engineer
Increff
12.2017 - 08.2019
Business Intelligence Consultant
Data Semantics / Aroha Technologies
06.2015 - 12.2017
Post Graduate Diploma - Business Analytics And Data Science
INSOFE
04.2001 -
Bachelor of Engineering - Computer Science
VTU
04.2001 -
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