Mark Sadowski Email & Phone Number

Whitefish, Mt, Us

On the newly formed data team I drove our analytics and machine learning efforts for gaming, nft, finance, and strategic initiatives. Worked with data engineering to vet venders, do comparison analysis, and data validation, which led to bringing on numerous data tools such as dbt, Y42, Airbyte, Flipside, Hex, Snowflake, and Sigma. Was the data lead for the successful Magic Eden etherium marketplace launch, which led to over 10% market share and over $1M in revenue.

New York City (Soho), Us

Data science lead on the Trust & Safety team. Mentored team members and xfn stakeholders, massively reduced Snowflake spend across our ML pipelines, created a new interview assessment pipeline for future analytic roles, provided business critical analysis and outputs requested from external legal entities, and did research into market behaviors of NFT collections and crypto currencies.

South San Francisco, California, Us

On Money Movement & Storage, Cash Predictions I implemented various end‐to‐end ML workflow improvements using Python, Ruby, and Scala that led to accuracy improvements in predicting when transactions would settle, with the best result going from 30% to 85%, as well as reducing the volume of inaccurate settlement predictions by roughly $5M per month.

Seattle, Wa, Us

Worked with product and engineering to launch new products, such as creating Python Generators that used integer programming optimization to bundle shipments on Convoy's platform in such a way that makes them more attractive to truck carriers, which increased carrier utilization from under 60% to over 85%.

Chicago, Il, Us

On the data research team I used machine learning models in areas such as merchant churn to improve retention of S/M/L merchants across the platform and forecasting to better anticipate financial shocks in volatile markets. Supported stakeholders throughout the company through research and development of end-to-end products.

Used GBDT models across Ads, Messenger Payments, and Oculus to reduce Facebook's fraud and chargeback rates. Lead deep dive understands in new verticals and product launches in order to come up with appropriate metrics and to give product recommendations to the rest of the org.

San Francisco, California, Us

Responsible for business intelligence and analytics across the company, focused on supporting and educating numerous cross-functional teams in B.I., risk and fraud, payments conversion, merchant and product performance.

San Francisco, Ca, Us

Grade exams and come up with solutions for homework in the Graduate Analytics and Financial Analysis programs for over 100 students.Analytical Methods I for Master's in Analytics (August 2012 - December 2012)Econometrics for Master's in Financial Analysis (August 2012-October 2012 and January 2013-March 2013)Financial Econometrics for Master's in Financial Analysis (January 2013-March 2013)

Master Of Arts, Economics; Financial Economics

Bachelor Of Arts, Economics

Bachelor Of Science, Business Management; Finance