William C. Gillette
Data Scientist & AI Enthusiast
Turning data into actionable insights and intelligent solutions to drive digital transformation
About Me
I am a data scientist with proficiency in Python, R, and full-stack development, focused on transforming complex data into actionable insights and intuitive applications. I graduated from Ursinus College with a triple major in Computer Science, Statistics, and Mathematics (GPA: 3.99), balancing academics with roles as a varsity athlete, fraternity academic chair, and lead tutor.
As a Technical Delivery Analyst in the Public Sector, I create data-driven recommendations, optimize workforce management, and produce business intelligence reports. My foundation in analysis and software development was strengthened through projects like a Bayesian regression housing market study and leading the development of a full-stack degree planner app as Scrum Master.
Currently, I am advancing my expertise through a Master’s in Data Science at Johns Hopkins University, specializing in AI and machine learning, with plans to progress to an applied statistics doctoral program. I aim to harness data science and intelligent automation to craft innovative solutions and drive digital transformation across industries.
Education
Johns Hopkins University
M.S. Data Science — AI & Machine Learning
GPA: 4.0 — Expected May 2027
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Algorithms for Data Science(685.621) | |
Data Patterns and Representations(685.662) | |
Statistical Methods and Data Analysis(625.603) | |
Data Engineering Principles and Practice(625.603) | |
Computational Statistics(625.603) | |
Ursinus College
B.S., Triple Major — Computer Science | Statistics | Mathematics
GPA: 3.99 — December 2024
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Mathematical Statistics(MATH-442) | |
Statistical Modeling(STAT-443W) | |
Real Analysis(MATH-311W) | |
Applied Regression Models(STAT-342) | |
Database Design(CS-377) | |
Data Structures & Algorithms(CS-371W) | |
Skills
Independent Research & Projects
Physical Activity During the COVID-19 Pandemic
Causal impact analysis using IHME data and Bayesian Structural Time Series models
Compared elderly and young adult women in CA & FL; accounted for stringency indices and DALYs
Found increase in CVD prevalence in Florida (p=0.002) and decline in CA DALYs (p=0.031)
Evaluating the Sensitivity of the Housing Market
Identified macroeconomic drivers of housing prices and their stability during crises
Applied Bayesian regression with LOO cross-validation and residual diagnostics
Corrected violations of assumptions to extract top drivers: inflation, unemployment, population growth
Last 400m of the 2023 NCAA Metro Regionals held at Dream Park, Glocester, NJ
William and his extended family spending the day in Somerville, NJ
William with his fraternity brothers at the Class of 2025 Valedictorian/Salutatorian Ceremony
William and his parents attending his undergraduate commencement ceremony.
Ursinus College Fall Twilight Senior Ceremony held in November 2023
William and his immediate family at his sister's Emerson College graduate commencement ceremony in Boston, MA
Phi Kappa Sigma International Fraternity Delta Rho Chapter- Last 400m of the 2023 NCAA Metro Regionals held at Dream Park, Glocester, NJ
- William and his extended family spending the day in Somerville, NJ
Experience
Technical Delivery Analyst
Computer Aid Inc. (CAI) — Contingent Workforce Solutions
Feb 2025 – Present
- Partnered with cross-functional teams to support implementation and analytics for public sector contracts
- Redesigned quarterly customer reporting using Power BI; improved insight delivery
- Automated contract-renewal & timesheet workflows via VBA scripting to reduce manual effort
Data Analyst Intern
Computer Aid Inc. (CAI) — Neurodiverse Solutions
Jun 2024 – Aug 2024
- Engineered program performance metrics and presented actionable recommendations
- Led daily Agile standups and aligned cross-functional requirements
- Benchmarked metrics against BLS industry standards
Lead Tutor
Ursinus College — CS/Math/Stats Tutoring
Sep 2021 – May 2024
- Onboarded & mentored new tutors, improving program delivery and assessment
- Developed personalized learning strategies and tracked progress for 40+ tutees
Awards & Community
Salutatorian
Ursinus College Class of 2025
Best Data Visualization
DataFest Philly (2024) — selected by ASA faculty
Upsilon Pi Epsilon
Computing Sciences Honor Society President
Inclusive Data Science Initiative
Student-led data science research cohort
Phi Kappa Sigma Fraternity
Academic Chair & Executive Board
Volunteer Service
LLS, AFSP, Special Olympics
Contact
Interested in collaborating? Feel free to reach out below!
