FAHAD AHMAD
Chicago,IL
Summary
Passionate about transforming complex data into clear, actionable insights that support smarter business decisions. With a strong foundation in data science, business analytics, and strategy, I thrive at the intersection of technology and innovation. With experience in both technical projects and leadership roles, I bring the ability to translate numbers into actionable strategies that drive growth and efficiency.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Intramural Sports Supervisor
UIC Student Recreation Facility
Chicago, USA
02.2023 - 05.2025
- Resolved participant conflicts on first contact, ensuring a positive environment through effective conflict resolution and strong interpersonal communication in a customer service setting.
- Promoted from referee to supervisor after excelling in officiating across four different sports, demonstrating adaptability and performance consistency.
- Applied account management skills by overseeing scheduling, supervising 30+ officials, and ensuring quality service delivery in high-pressure environments.
- Created tailored training materials to improve officiating standards, resulting in a higher number of qualified officials ready to manage competitive matches throughout the season.
Data Specialist
Red Crescent COVID Hospital
06.2021 - 08.2021
- Improved data accuracy and compliance for over 2,000 patient records through a detail-oriented approach to cross-verifying sensitive information with government databases.
- Ensured compliance with data confidentiality regulations, applying fundamental principles of intellectual property and information security.
Education
Bachelor of Science - Data Science: Business Analytics
University of Illinois at Chicago (UIC)
Chicago, IL05.2025
Skills
- Data Science
- Business Intelligence
- Data visualization and communication
- Business analysis and modeling
- Python
- C/C
- SQL
- Machine learning (Scikit-learn)
Projects
Graph-Based UIC Campus Navigation System (C++)
- Designed an efficient graph data structure using unordered maps and adjacency lists for optimized storage and retrieval
- Leveraged Dijkstra's algorithm to design a building-to-building navigation system, incorporating footway connectivity and building accessibility; decreased average search time for locations.
Business Data Mining
- Applied data cleaning, one-hot encoding, and train-test splits to prepare the dataset; evaluated models with Accuracy, Precision, Recall, F1-score, ROC-AUC, and confusion matrices.
- Achieved best performance with Logistic Regression (80% accuracy, ROC-AUC 0.837), delivering insights into churn drivers such as month-to-month contracts, high monthly charges, and lack of support services
Certification
Amazon Web Services (AWS), Data Engineering & Cloud Foundations
Languages
Urdu
Native/ Bilingual
English
Native/ Bilingual
Punjabi
Full Professional
References
References available upon request.
Timeline
Intramural Sports Supervisor
UIC Student Recreation Facility
02.2023 - 05.2025
Data Specialist
Red Crescent COVID Hospital
06.2021 - 08.2021
Bachelor of Science - Data Science: Business Analytics
University of Illinois at Chicago (UIC)
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