Shane Jacob
West Hartford,CT
Summary
Computer Science student at the University of Connecticut with a strong interest in data science and machine learning. Experienced in SQL, Python, and data visualization tools. Proven ability to work collaboratively and independently, with excellent organizational and communication skills.
Overview
2
2
years of professional experience
Work History
Resident Assistant
University of Connecticut
Storrs, CT
01.2025 - 05.2025
- Facilitated monthly community meetings to promote engagement among Northwood Apartments residents
- Planned and executed educational/social events to foster an inclusive environment
- Conducted periodic room inspections and upheld housing contract standards
- Served as a point of contact for conflict resolution and crisis response
Info D Intern
Travelers
Hartford, CT
06.2024 - 08.2024
- Automated extraction of broker data from QlikView, streamlining reporting across Canada and Europe
- Created dynamic Excel reports using pivot tables and advanced formulas (e.g., VLOOKUP)
- Authored a 10-page analysis on brokerage trends and key business takeaways
- Delivered presentations to VP-level stakeholders, translating technical findings into strategic recommendations
- Debugged and optimized QlikView dashboards by writing complex SQL queries and refining business logic filters
Cashier
The Home Depot
Bloomfield, CT
05.2023 - 08.2023
- Processed high-volume transactions with speed and accuracy
- Provided product guidance and navigated in-store systems to support shoppers
- Ensured daily register balancing and compliance with cash-handling policies
Education
Bachelor of Science - Computer Science
University of Connecticut
Storrs, CT05.2025
Skills
- Python
- SQL
- Qlik Sense
- Power BI
- Tableau
- Excel (Pivot Tables, VLOOKUP)
- PyTorch
- TensorFlow
- Keras
- OpenCV
- YOLOv8
- Jupyter Notebook
- Git
- VS Code
- Communication
- Teamwork
- Attention to detail
- Problem Solving
Projects
AITime (Senior Design Project)
- Developed a prototype AI-driven day planner using Python (backend) and Angular (frontend).
- Utilized PyTorch to build an intelligent scheduling engine.
- Integrated features for students to manage time for classes, gym, and personal tasks.
Titanic: Machine Learning from Disaster (Kaggle)
- Built a predictive model to determine survival likelihood based on demographics.
- Tools: Python, NumPy, Pandas, Matplotlib, scikit-learn, Jupyter Notebook.
- Techniques: Logistic Regression, Decision Tree, Random Forest; achieved 77% accuracy.
Coursework
- Intro to Machine Learning
- Principles of Databases
- Algorithms and Complexity
- Statistical Methods
- Business Information Systems
Timeline
Resident Assistant
University of Connecticut
01.2025 - 05.2025
Info D Intern
Travelers
06.2024 - 08.2024
Cashier
The Home Depot
05.2023 - 08.2023
Bachelor of Science - Computer Science
University of Connecticut
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