Xavier Genelin

Data Scientist

Freelance Research•  July 2022 - June 2024•  Remote

• Consulted with a medical team to examine rare skin cancer data from SEER registry • Collaborated using Github for version control and sharing code throughout the project Assisted the team in data collection and applying proper statistical and machine learning techniques • Created a linear regression model in R to determine significant variables in skin cancer incidence and write up the results for the final publication

Data Scientist

Mattress Firm•  November 2021 - July 2022•  Remote

• Built customer segments in python based on demographic data using scikit-learn to create unsupervised machine learning models to analyze customer habits and look for marketing opportunities for new products • Utilized SQL for data extraction, manipulation, and analysis to support data-driven decision making and machine learning models • Supported multiple stakeholders across private brand teams in developing data-driven marketing strategies powered by customer analytics and statistical models • Investigated customer survey data in python with NLP using the NLTK library to analyze feedback from various customer groups and determine opportunities for improvement in product delivery and product satisfaction • Created an XGBoost machine learning model to classify customers based on previous transaction habits to aid in customer analysis with 82% accuracy • Analyzed the impact of economic stimulus packages on sales, determining there was an increase • Utilized Github for version control and collaboration in data science projects while implementing CI/CD pipelines to ensure code quality through automated testing and streamline deployment • Conducted A/B testing for different media mixed models for new product and private brand teams • Communicated results with stakeholders (managers to C-suite) to both technical and non-technical audiences

Quantitative Analyst

NC State Baseball•  March 2021 - June 2022•  Remote

• Formed a report using R and Tableau to analyze NC State pitchers to help optimize their performance • Consulted the coaching staff based on findings from analysis and assist with game strategy • Advanced to the 2021 College World Series semifinal and 0.632-win percentage in 2022

BI Analyst/Data Analyst

Ashley Furniture•  November 2019 - November 2021•  Arcadia, WI

• Automated manual processes writing SQL queries for data extraction and dashboards, saving 45 hours per week • Designed an app in python to optimize the process of diverting shipping containers, saving 8 hours per week • Conducted a statistical analysis in R on new product sales and advertisement spending using a machine learning model, determined ad spending had no impact on sales, saving $300,000 • Developed and maintained 17 Power BI Dashboards for Supply Chain, Manufacturing, Finance, and HR to support data-driven decision making