Experience
Client: Facebook
- Developed critical data ingestion and processing pipelines built with Python across client’s hardware analytics data infrastructure
- Worked closely with Data Scientists and Data Engineers to help optimize compute resources and design a better data warehousing infrastructure while enforcing data governance
- Built and maintained high visibility dashboards for VP level stakeholders in Tableau and proprietary dashboarding tooling pertaining to hardware health and hardware operational performance within client’s on-prem Data Centers
- Established high-level data pipeline design documentation and worked closely with proprietary ETL tooling to provide on-call support
- Leveraged pre-existing tooling on top of Hadoop, SQL, Python, Hive, and Presto to help drive further business value
- Built dashboards and data visualizations in Chartio and SQL to report on Operations and Marketing KPIs
- Assisted in global customer lifetime value modeling and customer acquisition cost modeling
- Led market research analysis that provided valuable insights towards product development and customer acquisition strategy
- Performed statistical AB testing on ad content and placement that effectively reduced customer acquisition cost by 50%
- Taught a curriculum focused on client-side and server-side web development using Python, Javascript, HTML, and CSS
- Covered material ranging from types, methods, and data structures to security, web services, and APIs
Software Engineering
- Architected proprietary data analysis tools with Flask and Angular.js that helped derive actionable product strategy from customer acquisition data
- Created RESTful API endpoints in Flask for data analysis toolsets that interacted with MySQL databases and Amazon Web Services
- Created data visualizations using D3.js displaying customer acquisition trends
Data Analysis
- Deployed functional and cosmetic AB tests and analyzed subsequent data from Apache Spark cluster using Scala and Python
- Generated ad hoc reports on KPI and KPA from MySQL data
- Resolved discrepancies and redundancies in data pipeline to expedite ETL processes
Projects
Engineering
Minirl - minirl.com
- Built a URL shortening service using React.js, Flask, and SQLite and deployed to Heroku
- Designed and implemented a custom encryption algorithm that minimized collisions and retaining robustness in use cases
- Wireframed vital components and developed styles that contributed to a user-centered design (UCD)
Byteschool - TBA
- Developing a software engineering education platform focused on building high school engineering talent
Albumify -
- Created a shell client which searches and extracts m4a files corresponding to a track and artist name from YouTube
- Functionality includes ability to extract a complete album if provided additional file with track names
BoulderBlast -
- Created a graphics based game where a player must navigate through a maze, avoid robots, and collect jewels
Data Analysis
Los Angeles Fire Department Kaggle Contest
- Awarded first place in Data Mining course's Kaggle competition for predicting Los Angeles Fire Department response time accurately
- Developed a data cleaning and feature engineering schema that accurately trained models and lowered testing errors 12 percent more than other groups
- Developed, tuned, and cross-validated regression and tree based models including linear regression, random forest, and gradient boosting (xgboost) models
- Explored ensembling of many different weak learners to minimize standardized residual errors
UCLA Datafest (Expedia)
- Led exploratory analysis of repeat hotel customer behavior in the United States via Expedia
- Unearthed trends pertaining to importance of chain tendency and devised a marketing plan focused on improving customer loyalty
- Developed random forest models to determine feature importance and devised actionable product strategy emphasizing those features
Capstone Project (NCAA Football)
- Consulted for a NCAA Football team on whether biometric practice data influenced game time performance
- Revealed nuanced behaviors of performance by player positioning and analyzed trends over the course of a season
- Scraped ESPN for football player statistics