Apr 2022 – Present · 3 yrs 11 mos

• I lead Product Analytics for Zalando Marketing Services, and with the team, work with product and business teams alike to create value from data. We -
• help improve the ad experience for the partner and the shopper
• identify and size problems and quantify impact of product solutions
• own product health review and measurement process including its KPIs definition: identifying pitfalls and driving solutions
• provide insights and recommendations to improve the auctioning process and bidding algorithm
• optimize the ad platform
• We do so by most commonly performing A/B testing, Causal Analysis, Predictive modeling and using effective Data storytelling to drive impact.

Jan 2021 – Apr 2022 · 1 yr 3 mos

• Solving business problems in the fulfillment area using all things data. I work closely with product teams to improve the way Zalando offers inventory and delivery options to the users, and fulfils the promises to the customer in the best possible way.
• Problem sizing and informing business cases
• Design experiments to evaluate product features
• Causal analyses when experiments are infeasible
• Predictive analytics
• Research questions on user behaviour and preferences

Feb 2020 – Present · 6 yrs 1 mo

• Faculty for the MBA (Executive) Program in Business Analytics, teaching the following courses -
• Machine Learning basics, Advanced Machine Learning
• Business Problem Solving
• Data Visualization
• Python for Business Analytics

Jan 2020 – Present · 6 yrs 2 mos

• Primary author for 'The Deep Learning Workshop" - an intuitive, hands on approach to Deep Learning for all.
• Primary author for 'Data Science for Marketing Analytics" - a hands on approach to taking Marketing Analytics to the next level using Data Science.

Jan 2018 – Dec 2020 · 2 yrs 11 mos

• Worked across all aspects of ecommerce business, solving complex business problems and creating impact using data.
• Pricing: measuring pricing effectiveness and impact of pricing on long term customer behaviour
• UGC (User Generated Content): customer reviews and ratings, user questions and answers
• From solving for relevance, to ranking of content, to content solicitation, and deriving insights from these.
• Category Analytics: actionable insights and analysis to improve category business, touching upon various aspects of business from buying to selling, to understanding customers and their behaviour.
• Merchandising: identifying the right target for the merchandising content to maximize relevance of merchandising for the user/customer, and therefore maximize click through rates and sales through this channel
• Catalog: problem statements around relevance and importance of product attributes, reducing customer returns

Aug 2015 – Dec 2017 · 2 yrs 4 mos

Nov 2014 – Jul 2015 · 8 mos

Dec 2012 – Oct 2014 · 1 yr 10 mos

Jun 2010 – Nov 2012 · 2 yrs 5 mos · Pune/Pimpri-Chinchwad Area

• Sales force strategy: Call Planning and Targeting (for clients in US pharmaceutical market)
• performed analyses to enable business level rules/decisions and create an optimized the plan of action for the field
• created optimized plan of actions based on field conditions and constraints
• Joint Venture Execution Tracking to track performance against contractual obligations between top pharmaceutical firms
• Developed content for and conducted training sessions on basic SAS, advanced Excel for the new class of Associates
• Instituted several new ideas in existing processes to ensure better quality and efficiency
• Extensive use of tools - SAS, SQL, MS Office Suite, and ZS proprietary optimization tools

Jul 2009 – May 2010 · 10 mos · Bengaluru, Karnataka, India

• Supported, debugged and developed application designs based on the PSoC (Programmable System on Chip), PSoC3 for customers.
• Studied various communication protocols and implemented them.
• Developed example project on “Multiple Interrupt Handling in PSoC”.
• Tools/languages used
• Tools - PsoC Designer IDE, PSoC Creator IDE (Cypress software packages)
• Languages used - C