Responsibilities include:

• Data Science lead on a global cross-functional project. Forecast the future health of footwear franchises using machine learning and an innovative scoring system.
• Developed and maintain a model to predict return rate for specific products
• Presented work in front of 300+ people at Nike Consumer Insights Combine
• Maintain frontend and backend of multiple Tableau dashboards
• Ad-Hoc analysis using SQL, R, and Shiny to support multiple business-facing stakeholders
• Establish data best practices on team including version control and code review

Responsibilities include:

• Assist in the development of a Bayesian Marketing Mix Model to understand impact of different advertisement campaigns across Nike’s digital platforms
• Create datasets and data pipelines in Databricks using Python and SQL
• Be a marketing data expert and help establish actionable KPI’s for multiple teams

Responsibilities include:

• Writing Complex queries in Snowflake to gather information across the Hulu Platform
• Create Dashboards in Tableau to help provide insights to stakeholders
• Manage Git repository and act as the team’s code manager
• Write R code to create repeatable analysis for the team

Responsibilities include:

• Coordinate all projects and tools relating to Player Development for the Analytics Department
• Hire, train, and manage all minor league pitch tracking operators
• Hire, train, and manage interns in the Analytics Department
• Build R packages, review code, and create unit tests
• Communicate with and understand the needs of minor league coaches to ensure we are maximizing the usefulness of our tools and reports
• Collaborate with Data Engineers to maintain the accuracy and timeliness of our data ingestion
• Serve as main project manager for all Player Development software applications
• Continue to execute all Data Analyst duties

Responsibilities include:

• Explore, clean, and analyze a large number of unique datasets from third party sources
• Evaluate players using statistical methods and suggest specific areas for improvement
• Create statistical models using R to estimate future performance
• Create automated data visualizations, reports, and dashboards using Shiny and R
• Work with coaches and Player Development staff to create realistic and actionable improvement plans for all players in the organization

Responsibilities include:

• Create statistical models and applications using Python to aid the baseball operations staff
• Query relevant information and organize data using SQL

Responsibilities include:

• Assist in the design of experiments for motion capture for a virtual reality simulator
• Create statistical models using R to predict performance for fantasy sports lineups
• Scrape websites, parse JSON, and organize relevant information
• Store and query data in SQL database

Dr. Peggy R. Borum’s Metabolic Assessment Laboratory (borum.ifas.ufl.edu) Responsibilities include:

• Analyze the link between diet and seizures in patient Epileptic on Ketogenic Therapy
• Write R code to analyze and organize patient information
• Store and Query “Foodomics” information in a MySQL database