WILLIAM GUY

Data Scientist Masters Graduate from UCSD, looking for DS job opportunities either remote or in person. Graduated from Cornell University in 2023 with a degree in Statistics; concurrently started on Cornell's Division 1 Baseball team for all 4 years of college. Previous experience in Statistics, Data Modeling, Python, R and SQL, analyzing large and complex datasets from both hospitals (specifically from one located in Ontario, Canada) as well as from professional sports organizations.

• Predictive Modeling of NFL Quarterbacks, Built a predictive model of the performance of NFL Quarterbacks based on data from the last quarter-century, received an A+ in the course
• Python for Data Science, Built expertise in A/B test experimentation & power analysis through a Final Project on a hurricane dataset
• Statistical Computing, Understood metric & target definitions to define success for a hospital and the generalized framework to apply to varying industries
• DBMLS Business Simulation, Led a 4-person team project to analyze bias in a dataset on police arrests in the US
• Categorical Data

• Collaborated with team of 3 for a Capstone Project focused on the development of a predictive model to predict NFL Wide Receivers' Career Success based on their Rookie season, draft and combine metrics.
• Achieved a predictive model with a highest R² score of 0.748 utilizing a Neural Network infrastructure.
• Concluded that players drafted earlier in the draft tend to have higher fantasy point averages, combine metrics such as 40-yard dash, bench press and broad jump show weak correlations with long-term success.
• Analyzed the risk factors from a hospital dataset from Ontario, Canada, on Chronic Respiratory Diseases
• Findings included that BMI/weight have the greatest impact on mortality rates from CRD patients.
• Led a 4-person team project to analyze bias in a dataset on police arrests in the US.