Aaushi Kamble
Download PDF ↓Product Manager · Enterprise Data Platforms · ML / AI Products
ayukamble@gmail.com · LinkedIn · Bengaluru, India
Summary
Product Manager with 4+ years of experience building and scaling data-driven products across eCommerce and enterprise platforms. Proven ability to define product roadmaps, translate user needs into clear requirements, and lead cross-functional teams from ideation to launch — with a strong focus on execution, rapid iteration, and measurable outcomes.
Experience
Bengaluru, India
Heavyweight Pricing Products
- Led 0→1 development of an ML + GenAI-based weight classification platform, improving accuracy from 40% to 70%, automating pricing for ~50% of orders, and driving a 33% increase in Heavyweight NMV contribution.
- Scaled platform coverage across 49 sub-categories using rule-based and ML-driven inference, reducing manual weight corrections by 60% and improving scalability.
Meesho Fast (Seller Panel)
- Led end-to-end user research (50+ seller and expert interviews) to identify dispatch-latency root causes; translated findings into PRDs and user stories that drove seller-panel enhancements.
- Conceptualized and launched Meesho Fast, onboarding ~200 sellers in the Delhi-NCR lane and improving dispatch timelines through structured incentives and a KAM-led scaling model.
Pune, India
- Owned product strategy, roadmap, prioritization, and delivery for SLB's global Operational Financial Planning (OFP) platform — used by 250+ planners across $6B business units — aligning priorities with senior finance and operations leaders.
- Led a cross-functional team of 8 to build and scale enterprise finance data products, including downstream data-lake and data-warehousing workflows.
- Owned and governed 10+ financial KPIs across cost allocation, forecasting, and operational finance, ensuring data accuracy, auditability, and compliance with financial controls.
- Drove end-to-end delivery of enterprise data pipelines, cutting processing time by 75% while maintaining 95%+ uptime across APIs and backend systems.
- Improved adoption and usability by partnering with UX and engineering on in-product guidance and self-serve learning, reducing support tickets by ~60%.
Awards
- Performance Reward, Schlumberger (2022, 2023) — top-10% performance-based salary adjustment.
- Reward of Excellence, PITC Schlumberger (2021) — team award for a high-impact application.
- Semi-Finalist, Swadeshi Microprocessor Challenge (2021) — top 100 of 6,169 teams; won ₹1,00,000.
Education
Founding Joint Secretary, Stand-Up Club, IITR · Editor, Watch Out (Student Media Body)
Skills
Product: Product Strategy · Roadmapping · OKRs · Backlog Prioritization · PRD / User-Story Writing · Sprint Planning · Agile Scrum · Stakeholder Management · User Research · Go-to-Market · Business-Case Development · Design Thinking
Technical: SQL · Python · Machine Learning · GenAI · Enterprise Data Platforms · ETL · Data Engineering · Data Modeling · Data Governance · Cloud Data Platforms · API Integrations · Vector Databases · Retrieval-Augmented Generation · Embedding Models
Volunteering
Zero Gravity, IIT Roorkee Chapter — mentored freshmen on internships and placements.