Piyush Kumar Email & Phone Number

San Francisco Bay Area

Bentonville, Arkansas, Us

Leading efforts around e-commerce to accelerate marketplace growth via paid channels like Ads, SEM, search & personalization, sponsored retail ads listings, social commerce, SEO and tools such as seller search insights.-Modernizing and scaling our CRM system, including email, push and SMS channels, to increase customer frequency and spend;-Growing the SEO channel while leveraging LLMs to effectively introduce buyers to the Walmart marketplace;-Optimizing performance marketing channels that operate at massive scale ($500M+)-Building out cross channel capabilities in order to better target the messages we send to customers

Remote First, Us

Leading efforts for onboarding platform for consumer and institutional products.Managing a team of senior product managers.

San Jose, Ca, Us

Venmo: Led teams for all of the onboarding, activation, retention, and, core experience (search) efforts for Venmo consumer app. Product lead for buy and sell crypto on Venmo. PayPal: Led efforts for checkout with crypto project at PayPal.

San Francisco, Ca, Us

-Growth - Focussed on improving app user retention by personalizing push notifications and e-mails. Leveraged machine learning and AI to improve user engagement. -Launched geolocation-based push notifications & personalization for users.-SEO/SEM - User acquisition and web traffic growth via the desktop site and mobile site.-Online to offline attribution-Data Infra Products. Built the first unified AB testing platform (Bunsen) from the ground up. Presented product development efforts to various stakeholders including the CEO, SVPs on a biweekly basis. Bunsen is still used in the company to run a/b tests at Yelp.

San Francisco, Ca, Us

Worked on data platform, partnership management with several Twitter/GNIP data api customers. Also developed several machine learning and statistical tools for the data and infrastructure teams.Data Platform:Developing libraries using machine learning and stats to detect multivariate anomalies and mean shifts in time series using Scala & R. Previously also worked with BD/product team on partnerships of various Twitter data apis with several large tech and media companies. In terms of data api partnerships I worked with several companies like Nielsen, Kantar (UK) and VR (Japan) for various enterprise data products of Twitter.Capacity & Performance Engineering:•Implemented change-point & binary mean shift detection algorithm using univariate time series data to detect surges and mean shifts (anomalies & breakout) in several system level and application level metrics using R•Designed and developed a module to detect multiple mean shifts in time series data using binary segmentation algorithm, gathered data for testing and deploying the above algorithm using PIG•Experimented with several different time series analysis techniques to predict and smooth time series. In particular, Holt-Winters, rolling median, exponential moving average, ARIMA•Developed a framework to benchmark MySQL-Twitter performance for MySQL server based services. It helped to reduce capital expenditure by almost $12 million.•Worked with Twitter’s MySQL team to understand the performance issues for MySQL servers for various transaction types.•Developed a module using Matplotlib (Python) and Hadoop to observe mapslot_millis and reduceslot_millis on a job level basis for various Hadoop jobs and help in hadoop job level performance observation.•Working in Agile development environment and using JIRA to manage relevant tasks

San Francisco, California, Us

•Designed and devloped automated nightly workloads for backend UI framework for salesforce.com•Participated in scrum meeting and followed agile development practices for developing tools•Analyzed metrics like CPU Utilization, Young GC, Old GC using system tools, Yourkit profiler.•Developed internal mobile apps for testing and understanding server side performance•Gathered customer requirements in development of performance tools from cross functional teams

Mountain View, California, Us

Developed an automatic product classification system for various advertising channels.Collected Amazon product details of over 1.5 million products for training using Amazon’s eCommerce REST API. Used Apache Mahout to train on the product details and automatically classify a new productLexity was acquired by Yahoo

Crowdsourcing Project:1.Summary of Crowdsourcing Literature http://mzl.la/ciZnDm2.Summary of Best Practices http://mzl.la/c8bACt

San Jose, California, Us

Worked on developing a module for spam detection with real time black list service providers for Symantec Mail Security for Microsoft Exchange Servers. Got hands on experience with microsoft transport agents.

Minneapolis And St. Paul, Minnesota, Us

Columbus, Indiana, Us

Columbus, Indiana, Us

Master Of Science (Ms), Computer Science

Bachelor Of Science (Bs), Electrical & Computer Engineering

High School