Building product through a data driven and customer first approach.
Berkeley, California, United States
San Francisco Bay Area
Building the order assignment automation experience to abstract the core location stack and help solve the ondemand/scheduled order delivery business use case for customers
Developed the Scoreboard analytics feature that enables operation managers to observe logistic KPI trends, identify anomalies, and realize opportunities to improve service efficiency of their field workforce
Developed the home, device management, order assignment, and nearby dashboard experiences currently used by our production customers
Developed data pipelines to support business development that enable us to identify potential high value customers
Implemented business analytics tools to observe usage trends to help reduce cloud costs both internally and for our customers
Developed an improved device state management logic to provide ground truth of field operatives, and helping our customers understand causes for anomalies in their operations
Implemented automations that enabled targeted customer triggers to improve feature adoption rates and increased customer engagement
Developed ETL data pipelines to support location analytics dashboards used by customers to understand and optimize fleet operation metrics
Developed APIs to support cloud based control of asset tracking
2019 — 2020
Los Altos
Performed number ban analysis using decision tree models to understand the cause, decrease ban rates of service numbers, and reduce the user loss rates
Analyzed forwarding behavior to help define a score for news content that allowed editors to prioritize information and provide better service discovery through promotions
Developed scripts and dashboards to capture the key metrics, and track user migration to WhatsApp API groups
Performed user acquisition analysis based on different methods of acquisition (Facebook, forwards, etc.), and countries to identify the best method for different regions, the activeness latency, and the cause of inactive behavior
Performed user engagement analysis using histograms/cohort reports and identified patterns between active and passive engagement to decide the appropriate time for effective promotion of services
Performed latency analysis for live sports and points service used by over 4 million users and identified the bottleneck components in the delivery pipeline which needed refactoring
Developed scripts to retrieve users lost from the platform due to the ban of service numbers, providing insight into geo-based ban impact, and enabling the platform to reconnect to those users through offline direct messaging
Developed scripts and dashboards to identify and monitor power users across services using the L67 smile chart, enabling targeted service promotions, and identification usage stagnation
Designed and developed data models and dashboards to provide segmentation of users based on countries and services to serve as a source for geo-targeted experiments
Enhanced existing code of services to capture and load new event data for tracking valuable KPIs in different experiments
Implemented data visualization tools such as Metabase and Superset to help track the performance and growth of multiple experiments deployed on the platform
2018 — 2018
Los Altos
Developed a video generator service that embedded music audio and advertised platform services to accelerate growth through content forwarding
Developed a lyric extraction pipeline using the Scrapy framework, and AWS services which improved the response time of the lyric search service to under 5 seconds
Re-implemented and migrated a watermarking service from AWS Elastic Beanstalk to AWS Lambda (serverless) which resolved scalability issues for media services
Containerized existing services to help migrate and deploy services to Kubernetes
Performed code refactoring of blob services to isolate and improve code maintenance and deployment by conforming to the microservice architecture
San Jose, California
Defined and implemented data visualization standards using modern design principles which increased the user base from 20 to 130 on the administrative analytics platform
Designed data models to support the extraction of meaningful KPIs centered around student betterment and course scheduling
Redesigned over 40 Oracle Business Intelligence dashboards used in the Student Data Warehouse(SDW) Project
Education
2017 — 2018
San José State University
Master's degree
2017 — 2018
2008 — 2012
PES University
BE
2008 — 2012
2006 — 2008
St Josephs Pre-University College
PUC
2006 — 2008
1994 — 2006
Frank anthony public school
High School - Indian Certificate of Secondary Education Degree
1994 — 2006