• 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

• 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

• 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

• 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