Oscar B. Email & Phone Number

Increased sales team’s efficiency by developing a scoring model to prioritize sales leads; used dbt to model persona- and account-level data and Snowpark ML to train and deploy classifiers written in Python (PyTorch, scikit-learn).Built a deep learning model to predict query execution cost given SQL text and database-agnostic metadata; approximated query task graph with low-latency from SQL and then built a graph neural network with PyTorch. Generated revenue at F500 financial… Show more Increased sales team’s efficiency by developing a scoring model to prioritize sales leads; used dbt to model persona- and account-level data and Snowpark ML to train and deploy classifiers written in Python (PyTorch, scikit-learn).Built a deep learning model to predict query execution cost given SQL text and database-agnostic metadata; approximated query task graph with low-latency from SQL and then built a graph neural network with PyTorch. Generated revenue at F500 financial institutions with a cloud-native Risk Analytics solution and helped customers deploy similar solutions; deployed a Value-at-Risk model as a Snowflake UDF to achieve real-time risk predictions.Unblocked 2 major deals and partner ecosystem by developing cross-org sharing feature; built prototype in node.js (pub-sub framework + RESTful API) and gave guidance to PM + engineers on front- and backend designs.Diagnosed and fixed a major Snowflake pipeline/performance issue for a F500 customer; replaced a computationally slow view with a multi-billion row table unioned with live writeback data to improve freshness and performance.Managed Sigma’s analytics templates used by 700+ customers and prospects ($X0M ARR) to drive product-led growth and usability; built usage analytics for templates using dbt for data engineering and Sigma for reporting.Created solutions targeted at GTM teams and implemented them during POVs; architected ways to consolidate workloads from various tools (Salesforce, GainSight, Clari, etc) onto the cloud data warehouse + Sigma. Show less

Seattle, Washington, United States

Analyzed telemetry data for Plants vs Zombies 3 mobile game to draw insights about game’s health, making recommendations to game designers and other stakeholders. Improved database and telemetry designs.Identified a major missed revenue opportunity (and a solution) based on analysis of converted users’ engagement, behavior and MTX velocityAutomated the game’s score rebalancing process and made it entirely data-driven, a procedure previously done with intermittent… Show more Analyzed telemetry data for Plants vs Zombies 3 mobile game to draw insights about game’s health, making recommendations to game designers and other stakeholders. Improved database and telemetry designs.Identified a major missed revenue opportunity (and a solution) based on analysis of converted users’ engagement, behavior and MTX velocityAutomated the game’s score rebalancing process and made it entirely data-driven, a procedure previously done with intermittent guessworkImproved the efficiency of Analytics, QA, Engineering, PM work by building a streamlined documentation of in-game telemetry used by the entire studio Show less

Los Angeles, California, United States

Member of USC’s top AI group that uses data science to solve social issuesBuilt automated player to compete in Kaggle’s ConnectX competition using Monte Carlo simulation. Reached #18 worldwide with Elo of 1127.6

Burlingame, California, Usa

Master Of Science - Ms, Electrical Engineering

Focus in ML / Data Science 3.72 GPA Research Projects (attached): Shape Segmentation for Predicting Pedestrian Intent Database-Agnostic.

Bachelor Of Science - Bs, Mathematics/Economics With Minor In Applied Analytics

Magna Cum Laude (3.76 GPA) Center for Artificial Intelligence in Society (CAIS++) Men's Rugby (Captain, President, Treasurer.

Education record

Activities and Societies: Football (4 years), Baseball (2 years), Lacrosse (2 years) -Valedictorian of Class of 2017 (4.0 Unweighted GPA)