Austin, Texas, United States
• Increased ROI by 5-20% for campaigns spending a combined $1.4 million monthly on advertising
platforms (i.e. Google Ads) by writing Python (Pandas) scripts to customize ads and analyzing
revenue data from MySQL to adjust bidding strategies daily
• Managed data workflows (PySpark) in Databricks, including changes to improve ETL processes,
add revenue tracking to secondary job sites, pull Stripe API data for a new software application, etc.
• Boosted neural network (TensorFlow, Keras) by modeling with NLP and prob. distributions (Binomial
& Neg Binomial), increasing mean val. revenue per visit from $0.57 to $0.86 for remarketing lists
• Deployed data migration tasks on AWS’s DMS for initial & CDC replication from a PostgreSQL
database in RDS to our Databricks warehouse via stream processing (Delta Live Tables)
• Implemented React logic and built SQL dashboards to track and analyze revenue data from simpler
platforms (i.e. less sophisticated than Google Ads), reviving a paused revenue stream with more
accurate tracking at an initial net profit of $20k per month