I’m woefully afflicted with the idea that if “it can be done, I can probably make it scale”.I’ve spent much of my career performing deep dive analyses and presenting actionable insights to BODs and the C Suite which taught me the balance between strategy and tactility across the layers of an organization. This knowledge along with my past experience in marketing, technology, and advanced analytics shape my approach to building scalable data solutions that meet the needs of the business both strategically and tactically while driving contributions to the bottom line with new learnings, increased capabilities, and operational efficiencies. 𝗖𝗼𝗺𝗽𝗲𝘁𝗲𝗻𝗰𝗶𝗲𝘀: Data Engineering, Prescriptive/Predictive Analytics. Rule Based & Algorithmic Attribution Modeling, Data Modeling, Forecasting, BI Environments, Analytics Platform Implementation, Data Governance, SEM ($60MM ttl spend), DSP/SSP Configuration, A/B & Multivariate Testing.𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Segment, Snowplow, Adobe, DTM, Launch, Google Analytics, GTM, Heap, Einstein.𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Looker, Superset, Tableau, Power BI.Cloud: AWS, GCP𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲: Snowflake, BigQuery, Redshift, SSIS, MySQL, Postgres, Airflow.𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: SQL, Python, JS, Java.𝗣𝗮𝘀𝘁 𝗩𝗲𝗿𝘁𝗶𝗰𝗮𝗹𝘀: FinTech, Lending, Telecom, Insurance, Online Dating, Healthcare, Government, CPG, Dining, eCommerce.
Listed skills include Marketing Strategy, Business Development, Web Development, Project Management, and 31 others.