Apr 2019 – May 2021 · 2 yrs 1 mo

• Adtech

Jul 2018 – Mar 2019 · 8 mos

• Product and Business Analytics

Aug 2017 – Jul 2018 · 11 mos · Gurgaon, Haryana, India

• Early Engagement Analytics and Forecasting for a fortune 500 US credit card issuer
• Leading an offshore team of 4 devising an automated excel based forecast tool to predict the digital and financial engagement (9 KPIs) of future acquisitions till 2020 utilizing historical data, marketing strategy and techniques like Linear Regression, Time series decomposition
• Analyzing the difference in performance of newly deployed email campaign sequencing model ’Univariate’ (optimized on lift) vs ‘BAU’ model (optimized on revenue) by comparing the resulting early financial and digital engagement with the ‘Control’ population
• Identifying customer segments with high attrition rate using decision trees to identify reasons leading to sudden increase in the early attrition of customers followed by strategies to mitigate it
• Paperless: Digital Statements Strategic Growth Plan for a fortune 500 US credit card issuer
• Formulated a 4 year digital statements plan producing a $35MM+ benefit for a fortune 500 client in the BFSI domain
• Managed a team of 2 analysts to analyze click based customer data using Hadoop/Hive for developing digital statements growth strategies
• Responsible for 17% YoY growth or 2MM new digital statements in 2017, 2x of the highest growth observed historically
• Recommended special targeting strategies for Multi-relationship customers translating into $3MM expense save annually in the short terms & another $7MM annually in the long run

Aug 2016 – Aug 2017 · 1 yr · Gurgaon, Haryana, India

• Existing customers Campaign Optimization for a fortune 500 US credit card issuer
• Developed a strategy that helped the Client achieve the 2017 target for mobile-app users. The overall strategy, conditional upon the hyperactivity or sporadicity of desktop and mobile behaviour, leveraged click-stream data.
• Identified customer segments, using decision tree & population-function based tree models, that improved test vs control campaign lift. Achieved a lift of ~200 bps, twice that of previously deployed campaigns.
• Challenged the comparability of test and control populations for trigger campaigns and designed a synthetic control population using stratified sampling and clustering techniques. This provided the Client with a reliable campaign performance measure.

Aug 2015 – Aug 2016 · 1 yr · Gurgaon, Haryana, India

• Digital Planning and Strategy analytics for a fortune 500 US credit card issuer
• Automated digital usage tracker & health check monitor to reduce man-hour requirement by 70%
• Identified significant discrepancies in digital usage data and using an expertise to work on big data tables, offered a consolidated capture of digital users by gathering information from ~10 different data sources thereby improving digital users by ~500 bps
• Responsible for developing year end forecasts for digital usage and marketing impacts using time series decomposition as well as  autoregressive models. This facilitates the goal setting process for the Client

May 2014 – Apr 2015 · 11 mos · Delhi, India

Dec 2013 – Nov 2015 · 1 yr 11 mos · IIT Delhi

Jul 2013 – Oct 2015 · 2 yrs 3 mos · IIT,New Delhi

• Pan-IIT initiative which aims to provide better educational opportunities to underprivileged students
• Manager: Led a team of 25 to coordinate outreach activities and increasing Avanti's penetration in Delhi
• Formulated a 3 step selection process conducting aptitude tests in 750+ schools & evaluated 7000+ students
• Liased with DoE for accessing robust network of govt. and private schools increasing candidature by 40%
• Collaborated with Rendezvous, Tryst, NGOs & staff unions of colleges across Delhi to enhance outreach
• Executive: Represented Avanti in the low income community & addressed the key stakeholders
• Conducted career sensitization sessions for class Xth students in 60+ low income govt. schools across Delhi
• Interviewed 50+ parents & students to filter out financially eligible candidates for granting Avanti's fellowship