May 2022 – May 2024 · 2 yrs

• Improving Reels recommendations and experiences on Facebook. Specifically focused on improving quality and personalization through AI/ML and UI/UX levers. Impact on 1Bn+ users

Jan 2021 – May 2022 · 1 yr 4 mos

• Helping reimagine the search and launch experiences in the Windows Operating System. My focus has been on bringing the best of M365 productivity and intelligence to the Start screen, Search box, Windows File Explorer and Edge Browser. Investments here have an impact on hundreds of millions of users.

May 2020 – Dec 2020 · 7 mos

• I am helping Edge be the best in class productivity browser for enterprise users. With the productivity hub on the Edge new tab page, enterprise users can stay on top of all their commitments without having to traverse to a multitude of apps. I helped craft the strategy and ship the v0 version of this product which has millions of daily users.

Sep 2018 – May 2020 · 1 yr 8 mos

• Distracted mode assistance during commute through speech commands in Microsoft Teams and Outlook mobile apps
• Catch up on your emails while commuting (Play my Emails)
• Get to your meetings on time while commuting or distracted through proactive experiences (Time to Leave notification with map direction assistance for 'In-person' meetings and Join meetings on the go through Teams voice commands for 'Online' meetings)
• Helping improve people name recognition using voice commands. Example - Call John
• Managing exceptions to the day through intelligent nudges. Examples: Meetings outside of regular working hours, Meetings with no quorum, Back to back Meetings at different locations, unpaid bills, travel itinerary cancellations, outstanding tasks, Follow-ups on emails.
• Experience driving product across mapping stack, speech stack, User Knowledge Graph and apps like Teams and Outlook across large and small screens

Jan 2017 – Aug 2018 · 1 yr 7 mos

• I am the PM for a variety of Ad products for Bing International Markets
• Dynamic Search Ads – Launch/Roadmap/Growth. Dynamic search ads help advertisers target the large inventory of landing pages for which manual ad creation is very hard. DSA involves the automatic creation of ads based on the search query to target relevant pages while identifying new keyword opportunities for advertisers
• Automated Bidding agents: Use of advanced algorithms to optimize advertiser bid automatically to reach the relevant goal (Maximize Clicks, Target Cost Per Acquisition, Maximize Conversions). I am responsible for Product Formulation/Roadmap/Go To Market for various bidding agents
• Ranking, Allocation and Pricing of Text Ads on the Search Results Page
• Retail Strategy for various markets – Customized experiences for various retail scenarios to enrich the user experience while moving users deeper down the purchase funnel on Bing
• Acting as a point of contact between sales and engineering team to handle any escalations
• Attending sales events to educate advertisers on the product roadmap and to improve coverage of new products

Nov 2015 – Dec 2016 · 1 yr 1 mo

• Product Management/Data Science For Bing Ads
• I am the PM for the Ranking, Allocation and Pricing of Ads in the Search Page. I am also the PM for Predicting the Probability of Clicks on ads. The work that I do involves:
• New Product ideas/ New Features for existing products + cross team collaboration for Market implementation
• Increase Revenue/RPM YoY across International Markets
• Identifying new pockets of opportunity for User Experience Improvement/Revenue Growth/Tech Stack optimization
• Developing Machine Learning models to understand, identify and target User sub-segments
• Data Analysis - Algorithm optimization, Demand Analysis, Advertiser Analysis, Vertical Analysis- to drive growth and detect issues
• Operational readiness in the short and medium term
• Some of the projects that I have been involved in:
• Identifying Irrelevant Cross border advertisers across markets and thinning their impression footprint
• Identifying School traffic and reducing the impression foot print for a better user experience
• Identifying promotional/seasonal events across markets/time and creating algorithmic interventions across the stack to help advertisers and users get the most relevant results for short lived events
• Identifying and thinning out aggregators who consume lot of impressions but have very low cpc and displace other relevant advertisers
• Identifying new features to add to click predict models to improve our click prediction calibration
• Analyzing the rich getting richer phenomenon that biases the models to certain advertisers
• Analyzing the cold start problem that delays the effects of click prediction models
• Automating the investigation pipeline for Product ads advertisers across the funnel, from market metrics impact to demand analysis and discovering the cause of market issue in the algo stack

Feb 2015 – Nov 2015 · 9 mos

• Website Product Management for Fidelity.com website.
• Coming up with new feature ideas on heavy traffic landing pages to improve Account Open Rate
• Increase Account opens by X% across financial products/segments
• Net New Revenue inflow of X Million Dollars
• Customer Journey analysis/Funnel analysis/Competitor analysis/User lifetime analysis

May 2014 – Feb 2015 · 9 mos

• Rotation program:
• Vendor Management - Enterprise Infrastructure Vendors
• Call Center Analytics - Call Volume forecasting/Resource Utilization/Latency Management
• Financial planning - Budgeting for Business Unit/Quarterly and annual forecast

Apr 2013 – May 2013 · 1 mo · Lucknow Area, India

• Internship with the Uttar Pradesh Govt.
• 4 year plan for upgrading Industrial Training institutes in Uttar Pradesh. Worked with the principal secretary of the Education Ministry to identify areas of opportunity/improvement. Work involved:
• Policy formation for ITI's
• Resource Utilization/Optimization across ITI's
• Placement portal to increase job opportunity for skilled and semi skilled labor

Jul 2011 – Jun 2012 · 11 mos

• Software Developer
• Helped build a Code Reusability tool that was used across all teams in the company
• Reduced lost dev hours
• Led to Positive impact/timely delivery of large scale projects