Yewande Adegoroye is a Data Science student at the University of Georgia, minoring in Business, Statistics, and Computer Science.
She leverages machine learning and strategic principles to improve data insights, optimize performance, and drive data-backed decision-making.
Proficient in SQL, Python, Power BI, and Excel, with expertise in data visualization, forecasting, and trend analysis.
Experience
Data Scientist Intern
IBM · May 2026 – Aug 2026
Strengthened risk-based maintenance prioritization and decision-making for 200,000+ client assets by scoring failure risk through an AHP-weighted model across 5 risk factors, deployed in Snowflake SQL that surfaces high-risk assets and recommends maintenance actions, delivered via a dashboard that showcased data usability.
Supported response prioritization and efficient field technician routing by developing an optimization system that processed 500,000+ work orders in Snowflake and sequenced routes with Google OR-Tools (Python) by geographic proximity and urgency, with a dynamic reassignment table for overdue/urgency-driven location jumps, delivered via an interactive map-based dashboard.
Business Analyst Intern
Westinghouse Electric Company · Jun 2025 – Nov 2025
Optimized recruitment analytics by developing Power BI dashboards, including leveraging NLP and machine learning on 250K+ applications to identify trends/correlations between job titles and application counts after extracting and preparing data using SQL.
Developed dynamic recruiting dashboards in Power BI by consolidating multiple data sources, leveraging DAX and Power Query to replace static Excel scorecards with automated, up-to-date reporting.
Built an ensemble predictive model integrating multiple ML algorithms to forecast time-to-fill and predict need-by-date adherence, supporting recruiters and managers in optimizing hiring strategies.
Automated interview guide creation by building a Power Apps and Power Automate solution with HTML integration, enabling customizable forms, reducing manual preparation effort, and improving recruiter efficiency.
Data Analyst Intern
Colonial Pipeline Company · Alpharetta, GA · May 2024 – Aug 2024
Engineered data analytics initiatives supporting safety and performance monitoring by developing interactive Power BI dashboards using Python and Excel, reducing speeding incidents and near-miss accidents.
Analyzed 10,000+ historical safety records (2014–present) using SQL and Python, pinpointing high-risk patterns that provided data-driven recommendations that improved safety compliance.
Designed and deployed a predictive model utilizing time-series forecasting and classification algorithms, achieving high accuracy in identifying high-risk drivers, leading to enhanced safety measures.
