Summary
Overview
Work History
Education
Skills
Timeline
Generic

Shantesh Patil

Bengaluru

Summary

Highly accomplished Data Analytics and Growth Leader with 10+ years of hands-on experience driving significant business impact through data-informed strategies in e-commerce, consumer tech, and gaming 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 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

AVP - Platform economy and monetisation

MPL
Bangalore
08.2019 - Current
  • Devised and implemented comprehensive revenue management strategies, optimizing pricing and customer lifetime value (LTV) by 2.4x over 1 year across diverse portfolios and market segments.
  • Implemented data-driven insights to optimize economy and conversion of currencies in a closed wallet environment for profitability and maximize revenue streams, resulting in an 84% increase in margins over 6 months.
  • 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.
  • Successfully scaled operations in two new geographies (USA and Brazil) to profitability, developing a repeatable playbook for future market expansion.
  • 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 matchmaking techniques based on regional spending power and competitive dynamics, leading to improved match rates by 35% 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.
  • 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.

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. Reducing the time to RCA from 1 week to 1 day.
    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
06-2019

Bachelor of Engineering - Computer Science

VTU
Vijayapura / Belgaum
06-2015

Skills

  • Revenue Management: Pricing Strategy, Yield Management, Demand Forecasting, Revenue Analysis, Inventory Management, Budget Management, Performance Management
  • Platform Strategy & Growth: Retention Strategy, Cross-Selling & Upselling, Feature Development, Innovation Roadmapping, Financial Planning, Goal Setting
  • Data Analysis & Tools: Excel , SQL (Expert), Tableau, PowerBI, Python, Advanced analytics, Machine learning algorithms, data warehousing, data management
  • Leadership & Communication: Team Building, Cross-functional Collaboration, Mentoring, Coaching, Negotiation, Problem Solving, Presentation Skills

Timeline

AVP - Platform economy and monetisation

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

Bachelor of Engineering - Computer Science

VTU
Shantesh Patil