Will Suess Email & Phone Number

Ottawa, On, Ca

Ottawa, On, Ca

- Led a cross-functional team of 9 individuals (Data Science, UX, Engineering, Product) to diagnose root causes for underperforming product. I designed a multi-variant randomized blocked experiment and communicated the results to VP of product using Bayesian statistics techniques. The engineering team implemented my suggestions, and we observed a +18% increase in revenue vs prior month.- Presented 11 presentations to +50 colleagues over 6 months covering usage patterns, product effectiveness and opportunities for improvement in attribution reporting for 12 products within the Shopify Markets product suite- Estimated the causal effect of publishing merchants’ stores in an alternate language on the merchant’s conversion rate. We used observational data from 40,000 shops and estimated the effect using a variety of identification and matching methods including difference-in-difference, K-nearest Neighbor Matching with caliper matching and Bayesian hierarchical linear regression to estimate heterogenous treatment effects

New York City, New York, Us

- Taught data science and machine learning courses for both top tier universities and data driven organizations. Primarily collaborated with East Coast CFA Societies- Course sizes range from 20-60 students and cover provide in-depth examples of regression, classification, clustering and dimensionality reduction using python.

Charlottesville, Virginia, Us

- Led several large cross-functional teams to deliver enterprise scale data products used for investment decisions by over 40m customers globally, while coaching 3 data scientists on model development- Designed and constructed data products included 20+ machine learning models delivering automated investment recommendations for 16,000 mutual funds, 1,800 ETFs and 30,000 equities - Developed innovative cross-validation techniques applied to noisy panel data, automated data pipelines, and validation, and custom mixed-integer convex optimization routines utilizing CVXPY.- Expert in Scientific Computing Tools For Python (NumPy, pandas, SQLALchemy, sci-kit learn), Big Data technologies (DASK, Snowflake), Continuous Integration/Continuous Deployment (Jenkins, Containers, Dockers and Git), AWS Data Engineering Pipeline Tooling (RDS, Batch, SNS, Glue, S3, Cloudwatch ect)

Charlottesville, Virginia, Us

- Constructed and backtested quantitative asset allocation model based on 50 years of market and economic data- Programmed custom yield curve visualizations in Python & R sourcing client positions, yields and durations from SQL database - Created and maintained Postgres database built upon daily ETL pipeline I designed and maintained ingesting data from Bloomberg and internal portfolio accounting software

- Constructed a cross-sectional quantitative model combining multiple alpha signals to generate focused long/short trade recommendations applied to real asset investment universe

Norwalk, Connecticut, Us

- Constructed quantitative models and reports ranging from quantitative screens, factor backtests, portfolio optimizations leveraging risk models (Axioma & Barra), historical trading simulations, risk factor performance attribution- Gained a deep understanding of client investment processes including portfolio construction, risk modeling, factor investment strategies, and various alternative investment vehicles- Managed and directed a team of consultants

Norwalk, Connecticut, Us

Norwalk, Connecticut, Us