Ashish Rishav
Data-driven | 0→1 & Scale
Data-driven Product Manager with over 4.5 years of experience across B2B SaaS, AdTech, and consumer products. I bridge the gap between user needs and business goals through data and empathy.
Impact Snapshot
Measurable outcomes delivered across B2B SaaS, AdTech, and consumer products.
Service Efficiency
Improved operational efficiency through workflow automation.
Multi-outlet Visibility
Enhanced real-time tracking across multiple locations.
Data Precision
Improved accuracy in reporting and analytics for better decisions.
Manual Review Time
Automated core processes to save hours of manual work.
Supply Efficiency
Streamlined inventory and logistics management.
Users Impacted
Scalable solutions reaching a mass audience effectively.
Experience Journey
4.5+ years building products across B2B SaaS, AdTech, and 0→1 consumer startups
B&B Gastro
Leading product development for a comprehensive restaurant management platform serving multi-outlet chains
Key Achievements:
- Launched analytics dashboard improving multi-outlet visibility by 34%
- Automated workflow processes increasing service efficiency by 42%
- Drove supply chain optimization boosting efficiency by 12%
Media.net
Managed ad targeting and analytics products for a leading contextual advertising platform
Key Achievements:
- Enhanced data precision in ad targeting by 21%
- Reduced manual review time by 30% through ML integration
- Shipped features impacting 500K+ daily active users
GoodMinds
Built consumer-facing mental wellness products from ground up
Key Achievements:
- Launched MVP serving 50K+ users in first 6 months
- Designed onboarding flow with 65% completion rate
- Established product analytics framework from scratch
Case Studies
Deep dives into product challenges, decisions, and measurable outcomes
Problem Statement
Restaurant chains struggled with fragmented data across outlets, manual workflows, and lack of real-time visibility into operations and inventory.
Context & Constraints
Operating in a competitive F&B tech market with limited engineering resources. Needed to balance feature velocity with technical debt while serving 100+ restaurant chains.
Product Decisions
- Prioritized analytics dashboard over CRM features based on customer interviews
- Built workflow automation engine to reduce manual overhead
- Implemented modular architecture for faster feature deployment
Execution
- Created comprehensive PRDs with user flows and acceptance criteria
- Set up analytics tracking for all critical user journeys
- Ran A/B tests on onboarding flow to optimize activation
- Established weekly sprint cycles with engineering and design
Impact
+42% increase in service efficiency through automated workflows
+34% improvement in multi-outlet visibility via analytics dashboard
+12% boost in supply chain efficiency
Reduced customer support tickets by 25%
Key Learnings
- →Early customer validation prevents building wrong features
- →Incremental releases with strong analytics beat big-bang launches
- →Technical debt must be explicitly prioritized, not deferred indefinitely
Education
Mastering the craft through rigorous academia
MS in Data Science
University of Europe
Specialized in Machine Learning, Statistical Analysis, and Big Data Technologies.
B.Tech in Computer Science
Rajasthan Technical University
Foundation in Computer Science, Algorithms, Data Structures, and Software Engineering.
Skills & Tools
Battle-tested capabilities used to ship real products at scale
Product Thinking
Execution & Delivery
Analytics & Data
Collaboration & Communication
Toolbelt
Personal Interest
Explored 20+ Countries
More than just a
Product Manager
I approach product management with an entrepreneurial mindset. Having worn multiple hats in early-stage startups, I understand that great products are born at the intersection of user empathy, technical feasibility, and business viability.
I am customer-obsessed and believe that the best answers come from talking to users, not just looking at dashboards.
Outside of work, you can find me planning my next travel adventure or writing about my experiences in tech and culture.