Aditya Gupta
West Lafayette,IN
Summary
Data Analytics and Data Science professional with expertise in Python, SQL, R, and machine learning. Accelerated Bachelor’s and Master’s graduate from Purdue University, skilled in transforming complex datasets into actionable insights that enhance operational efficiency. Proven track record of leading projects that optimize inventory and reduce costs, demonstrating strong analytical and communication skills. Team-oriented with a commitment to continuous learning and improvement.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Supply Chain Intern
Lids
06.2024 - 08.2024
- Selected as 1 of only 15 interns nationwide
- Led the TOPPS Product Optimization Project, leveraging Python, Power BI, and Excel to redesign product slotting across 5,040 warehouse boxes, reducing manual sorting and supporting the successful national launch of the TOPPS Mystery Box initiative.
- Analyzed visual merchandising and inventory strategies by developing a store tiering matrix, capacity model, and budget framework, optimizing product allocation and improving ROI through data-driven decision-making.
- Built a real-time warehouse performance dashboard by extracting WMS data, storing it in Oracle, and creating a SQL-driven, refreshable reporting solution, improving visibility into labor efficiency and operational throughput.
- Presented insights to leadership; recommendations were recognized and implemented at scale.
IDS High School Intern
Eli Lilly and Company
06.2021 - 08.2021
- Designed and automated a data-intake workflow using Power Automate, integrating Excel and SharePoint to streamline employee data updates and reduce manual entry.
- Collaborated with analysts and interns across teams, gaining early exposure to enterprise analytics environments.
- Led and facilitated three project review meetings, communicating technical system design and implementation outcomes to stakeholders.
Education
Master of Science - Business Analytics & Information Management (Data Science Concentration)
Purdue University – Mitch Daniels School of Business
West Lafayette, IN08.2026
Bachelor of Science - Business Analytics & Information Management
Purdue University – Mitch Daniels School of Business
West Lafayette, IN05.2025
Skills
- Python and R
- Data analysis
- Inventory optimization
- Effective communication
- Team collaboration
- Forecasting techniques
- Analytical thinking
- Team building
- Statistical analysis
- Python programming
- SQL development
- Dashboard reporting
- Project management
- SQL databases
- Java and JavaScript
- Statistical modeling
- Ensemble methods
- XGBoost, LightGBM, CatBoost
- Model evaluation techniques
- Data visualization tools
- Power BI and Tableau
- Excel with VBA
- MySQL and Oracle
- MongoDB and BigQuery
- Cloud services (AWS, GCP)
- FastAPI development
- Version control (Git/GitLab)
- CI/CD practices
- Linux operating system
- Agile methodologies
- Scrum framework
Certification
- AWS Certified Cloud Practitioner
- Microsoft Excel, Word, PowerPoint & Access — Expert Level Certification
Leadership Activities Interests
- Purdue Men’s Club Basketball Team – Active player; demonstrated teamwork, discipline, leadership, and time management while balancing rigorous academics.
- BAIM Association – Business case competitions and analytics collaboration.
- DECA Finalist & Purdue Federal Credit Union Case Competition Finalist
Selected Projects
- Predictive Modeling – Bankruptcy Forecasting (Kaggle Competition), Built a bankruptcy-prediction model using Python and econometric features, engineering predictors and comparing XGBoost, LightGBM, CatBoost, and ensemble approaches. Optimized performance through hyperparameter tuning and validation strategies, achieving a competitive private leaderboard ranking while adhering to reproducibility standards.
- DevOps & Full-Stack Analytics – Uncle Joe’s Coffee Company, Developed a full-stack web application and backend API using FastAPI, MongoDB, and BigQuery, deployed via CI/CD pipelines on GitLab to Google Cloud Run. Collaborated with a cross-functional team to deliver data-driven features for locations, menu items, user accounts, and order history.
- Econometrics & Sports Analytics – Compensation vs. Performance, Analyzed 1–6 years of professional sports contracts using R and STATA to evaluate the relationship between compensation and performance. Built regression models revealing stronger compensation correlation with consistent long-term performance, not short-term output.
- Applied Machine Learning – Weather Forecasting Application, Automated ingestion of U.S. weather data from NOAA APIs using Python and SQL, storing data in a MySQL database. Applied predictive analytics to identify patterns and trends, supporting a cross-functional analytics team.
Timeline
Supply Chain Intern
Lids
06.2024 - 08.2024
IDS High School Intern
Eli Lilly and Company
06.2021 - 08.2021
Master of Science - Business Analytics & Information Management (Data Science Concentration)
Purdue University – Mitch Daniels School of Business
Bachelor of Science - Business Analytics & Information Management
Purdue University – Mitch Daniels School of Business