Dec 2019 – Feb 2024 · 4 yrs 2 mos · Gurugram, Haryana, India · Remote

• Building Pricing Capabilities for OLXAutos across 8 countries (LATAM + Asia)
• Envisaged, and leading 2 year plan for margin maximisation using Machine Learning driven car pricing;
• Responsible for accelerated & sustainable business growth with targets on margins & inventory days.
• Entrusted with strategic goal of sustainable business growth with KPI on margins, inventory & consumer NPS
• Envisioned company’s pricing strategy to adapt for market conditions, business strategy, and competitors. Ideated framework for pricing used cars using data science by taking into account macro-economic factors, market prices, inventories, margins, conversions and customer expectations.
• Led team of data scientists to track market prices and create data science pricing algorithms for used car market
• Led design thinking based approach for ground-up new product design for industry leading pricing product. Led team of engineers to create capability to combine data science suggestions with targets for margins, inventory size to set the final prices for purchasing, selling and auctioning cars
• Improved margins by 25% in Mexico and 20% in Chile POC; Overall >100% margin uplift in 6 months in MX
• Enhanced India procurements by 13% with data science pricing; Experiment in progress for 2 more countries
• POC improved margins by 25% in Mexico; Overall >100% margin improvement in 6 months since launch
• Improved India procurements by 13% with ML Pricing; Experiment in progress for 2 more countries
• Led campus recruitment initiative for product; Hired 13 full time product mgrs from ISB, IIM B & IIM C in 2022.

Jan 2019 – Dec 2019 · 11 mos · Gurugram, Haryana, India

• I led 3 roles at the same time at UC -
• # Complete Ownership of product mandate to improve customer repeat and retention, Led growth team of size 10;
• # Led and managed product research team of size 3
• # Product SPOC for international markets of UC - Dubai and Abu Dhabi;
• Few Projects to talk about -
• Loyalty Programs - Subscriptions - Launched, Owned and managed 3 customer subscriptions programs. Realized 50 - 100% uplift in Customer Lifetime Value; Improved buy rate of program by 100%; Impact – 3 CR to bottomline
• Conceptualized and executed APP home screen personalization powered by a data science based recommendation engine. Algorithm worked on basis user history, location(1km2) and gender; Improved month-on-month repeat rate by 2% and retained 30% extra user.
• Loyalty Programs - Wallet– Owned and Managed Customer Wallet program end to end. Iterated multiple wallet strategies to retain users post 1st transaction. Improved platform month-on-month repeat rate by 1.5%.

Jan 2018 – Nov 2018 · 10 mos · Hyderabad Area, India

• Responsible for Product Management and Business Development.
• Conceptualized, and executed AI based product that recommends new markets to enter for the retail sector on basis of micro-market analysis that combines historic sales with micro-market demographic, consumption and other patterns
• Conducted 50+ interviews across Fashion, F&B and Jewellery CXOs, real estate consultants and brokers; Discovered 40% new store failure rate and need for data-driven decision making
• Conceptualized & designed CityLytics Xplore: GIS & AI based location recommendation engine to explore, identify and monitor stores sales vis-à-vis location demographics, tastes, westernization, income and expenditure patterns
• Identified and On-boarded 40+ alternative data sources for Pan-India demographics at micro-market granularity
• Hired, Trained and Managed 7 interns from IIT-R, IIT-KGP and IIM-Indore to accelerate MVP time to market
• Technologies used: Python, Scrapy, Selenium, PostgreSQL, PostGIS, BigQuery, Google Cloud Storage and Compute, Leaflet, Javascript, HTML/CSS, Jupyter, QGIS; Other Proficiencies – C++, Java, Django

Feb 2015 – Feb 2017 · 2 yrs · Bengaluru

• Conceptualized and led the development of multiple financial risk products. End to end ownership of product, and execution with mandate to strengthen the IBD’s business selection, risk prediction, and regulatory-compliance; Developed multiple credit risk models using financial and data science based modelling for risk assessment.
• Product Manager for multiple risk modelling products like CCAR / Dodd Frank, Volcker, Interest Rate Risk for IBD. Planned, executed and managed entire product lifecycle from research, planning, development, delivery and maintenance of each. Created detailed and complex financial and data modelling solutions to work at scale. Designed products to evaluate and monitor daily risk using scalable infrastructure built from scratch.
• Additionally -
• Managed 18 Quant Strats across 7 teams in India across verticals of Risk, Mergers & IPOs and Infrastructure
• Entrusted with IBD Strat recruitment & appointed on “Campus Working Group” to coordinate hiring across IIMs & IITs;
• Personally recruited from IIM-C, IIT-B, IIT-R; On-boarded 8 new full time employees and 5 new interns overall

Jun 2013 – Jan 2015 · 1 yr 7 mos · Bengaluru

• Conceptualized and implemented a major upgrade to the firm’s parallel computing platform to enhance the transparency into system metrics that led to 100% throughput improvements.
• Identified critical gaps in effectively serving the Asian markets through the firm-wide distributed computing technology; re-engineered system to work 24/7 with no down time, reduced error rates by 60% and saved 100 man-hours daily.
• Worked across a myriad of technologies including with Python, Linux, Django, Postgres Database etc.

May 2012 – Jul 2012 · 2 mos · Hyderabad

• Worked with BizTalk and Sharepoint team to design and implement a new framework to enable multi-machine testing of the product Biztalk in an actual production like environment.