Lavneesh Nyol

Product Manager

Bengaluru, Karnataka, India10 yrs experience
Highly Stable

Key Highlights

  • Scaled payments business to $300M+ monthly volume.
  • Achieved 95% fraud reduction in three months.
  • Launched Fintech product line from scratch.
Stackforce AI infers this person is a Fintech Product Leader with expertise in payments and machine learning.

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Skills

Core Skills

Product StrategyPaymentsMachine LearningSoftware Engineering

Other Skills

Atmel AVRBig-Picture ThinkingBusiness AnalyticsBusiness OwnershipCC (Programming Language)CSSCSS3CommunicationCoordinating SkillsCreative Problem SolvingCredit CardsCritical ThinkingCross-team CollaborationCustomer Acquisition

About

Product leader with 9 years of experience driving cross-functional teams to scale payments business from $0 to $300M+ monthly volume profitably. Earlier, graduated from IIT Kharagpur & solved key business problems through Machine Learning.

Experience

10 yrs
Total Experience
2 yrs 10 mos
Average Tenure
1 yr 4 mos
Current Experience

Telus digital

Senior Product Manager

Feb 2025Present · 1 yr 4 mos · Bengaluru, Karnataka, India · Hybrid

  • Helping experts get remote freelance jobs globally and drive AI forward.
  • Working with global teams for Sourcing, Qualifications, Project Management, Marketing, Ops, Delivery across 10+ countries

Housing.com

Lead Product Manager

Dec 2018Jan 2025 · 6 yrs 1 mo · Remote

  • Launched Housing’s Fintech Product Line from Scratch and scaled it to $40M+ ARR.
  • Scaled Payments Business:
  • Spearheaded the launch and growth of Pay on Credit, scaling monthly payment volumes from $0 to $300M+ within four years while maintaining 15%+ CM2 profitability.
  • Leadership and Team Development:
  • Led a 4-person product team, after joining as the first Product Manager and achieved three rapid promotions by consistently driving 100%+ YoY revenue growth.
  • Customer Acquisition & Retention:
  • Expanded monthly acquisitions from 8k to 75k by forging strategic external partnerships and revamping the onboarding flow.
  • Improved monthly retention by 40% through initiatives such as ‘Pay Next Month’, ‘Break Cards’, and Wallet features.
  • Boosted average revenue per user (ARPU) by 36% through innovative experiments like Decreasing Gradient.
  • Fraud Prevention & Risk Management:
  • Built and deployed multi-layer fraud prevention systems (rule-based and ML-driven), achieving a 95% fraud reduction in three months.
  • Developed real-time reconciliation and alert systems, ensuring 0% financial leakages and seamless compliance with PGs, regulators, and banks.
  • Product Innovation & User Experience:
  • Delivered instant payout experiences to 99%+ users, elevating NPS from 24 to 63 (vs. industry average of 34).
  • Enhanced security by introducing critical features such as PAN KYC, transaction velocity checks, and usage limits, reducing unintended platform misuse to 0%.
  • Negotiated premium in-app visibility points to attract 0.4M users within the first month of launch.
  • Cost Optimization & Operational Efficiency:
  • Reduced product costs by 45% through process optimization and stakeholder collaboration.
  • Implemented business continuity plans with external partners, ensuring service resilience under all conditions.
PaymentsProduct ManagementCustomer AcquisitionFraud PreventionProduct InnovationUser Experience (UX)+3

Bobble ai

Product Engineer

Oct 2017Dec 2018 · 1 yr 2 mos · New Delhi Area, India · On-site

  • Launched the Bobble Keyboard App in 11 Indian languages, driving user engagement and app installs.
  • Developed innovative Word Prediction, Autocorrect & Emoji prediction features, resulting in a 3X increase in app install base.
  • Collaborated with cross-functional teams to ensure seamless integration of language features for a user-friendly experience.
Product ManagementUser Experience (UX)Cross-team CollaborationProduct Strategy

Zensar technologies

Machine Learning Engineer

May 2016Oct 2017 · 1 yr 5 mos · Bengaluru Area, India · On-site

  • Implemented Machine Learning algorithms to solve critical in-warehouse problems for Adidas, Nike & Macy's, boosting operational efficiency by 30%+.
  • Collaborated with cross-functional teams to develop innovative solutions for optimizing warehouse operations.
  • Analyzed data to identify patterns and trends, leading to actionable insights for process improvement.
Machine LearningData AnalysisCross-team Collaboration

Oracle financial services software limited

Software Engineer Intern

May 2015Jul 2015 · 2 mos · Mumbai, Maharashtra, India · On-site

  • Developed and deployed Docker containerized applications to streamline development and testing environments, enhancing system scalability.
  • Reduced deployment time for financial software solutions at OFSS
  • Collaborated with team members to optimize system performance and ensure seamless operations.
DockerSoftware DevelopmentSoftware Engineering

Education

Indian Institute of Technology, Kharagpur

Bachelor of Technology (BTech) — Electrical and Electronics Engineering

Jan 2012Jan 2016

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