Headline

Head of Product at GeoIQ | Ex-Jabong, Wecash Vietnam, Contxt.io

About

Ankur is a product leader & a 2X entrepreneur with over 10 years of industry experience with Product Strategy, Go to Market, Agile Product Management, Mobile Product Management - Head/VP of Product at GeoIQ.ai, Off the shelf AI for Retail Expansion - Leading Digital Initiatives for Retail Investors at DSP Mutual Fund - Lead Multiple Products as Country PM at Wecash Vietnam (Mobile, Underwriting, Finance, Customer Experience) - Sole Product manager at Kickstart Jobs for a Mobile & SaaS product - Co-Founder at Ridely, spec, designed and developed Android application - Software Engineer at Jabong, backend developer working on PHP, Python & GoLang

Location

Bengaluru

AI stack

aistudio

hugging face

ollama

openai

Work experience

Vice President of Products at GeoIQ, Nov 2022 - Present · 3 yrs 8 mos, Bengaluru, Karnataka, India

Co-Founder/ Head of Product at Contxt.io, Aug 2021 - Dec 2022 · 1 yr 5 mos, India, Win customers by engaging them one-on-one within their live session with power of co-browse & embedded audio/video calls with full privacy controls for Insurance, Lending & B2B SaaS

Product Management Consultant at Capitalmind, May 2022 - Nov 2022 · 7 mos, Bengaluru, Karnataka, India

Product Lead, Retail Investing at DSP Mutual Fund, Feb 2020 - Aug 2021 · 1 yr 7 mos, Mumbai, Maharashtra, India

Product Manager at Wecash (APAC), Sep 2018 - Jan 2020 · 1 yr 5 mos, Vietnam, • Led 0 to 1 for Wecash Vietnam's micro lending platform $50-$200; 10/20/30 days micro loans with 3 PM, 5 Dev & 3 member Design team • Scaled to 2500 applications per day with 4.3 average rating on Play Store. Best Rank - #4 in Finance VN • Integrated AM (AI modeler) to reduce underwriting operations effort by 45%. Underwriting time reduced from 2 days to 12 hours. • Improved 10% Conversion KYC to Loan Application Initiation with targeted campaigns • Integrated National credit check to reduce risk by reducing underwriting time by 25% • Integrated MoMo, biggest e-Wallet in VN, accounting for 51% of total repayments leading to 9% reduction in First Payment Default. • Ran A/B testing experiments with National ID OCR and Face match, reducing IA effort by 30% • Integrated attachments and push notifications with in-app support chat, reducing turn-around-time by 50%

Education

Bachelor of Technology (B.Tech.), Computer Engineering, Bharati Vidyapeeth's college of engineering