Reed Haas
Summary
Aspiring data analyst with fundamental python knowledge and a passion for sports. Proficient in statistical methods and data visualization, along with programs like Microsoft Excel and VS Code. Knowledgeable of football history and excited to translate passion to a career.
Overview
1
1
year of professional experience
Work History
Trainee
Pro Football Focus
05.2024 - 07.2024
- Attended training courses to build understanding of implemented software, techniques, and the industry.
- Used software to collect data on college football players including role, stance, and technique.
- Gave and earned feedback through trainee Discord server.
Summer Camp Assistant Director
Jewish Council for Youth Services
06.2024 - 08.2024
- Managed budgets and resources effectively, enabling the provision of quality programs within financial constraints.
- Ensured a safe camp environment by enforcing strict adherence to safety protocols and conducting regular risk assessments.
- Evaluated staff performance regularly, providing constructive feedback for professional growth opportunities within the organization.
- Supported the Director in strategic planning initiatives aimed at expanding camp offerings while maintaining focus on core values of inclusion and personal growth.
Camp Supervisor
Jewish Council for Youth Services
06.2023 - 08.2023
- Used Microsoft Excel for budget, weekly planning, and big events.
- Led groups of children safely through variety of camp activities.
- Enhanced camper experience by developing and implementing engaging activities and programs.
Education
Bachelor of Science - Statistics
University of Illinois At Urbana-Champaign
Urbana05.2026
Skills
- Statistics
- Excel
- Data Visualization
- Data Science
- Staff Management
- Parent Communication
- Python Programming
- Predictive modeling
- Linear Regression
- Logistic Regression
Projects
Exploratory Data Analysis of Quarterbacks in 2023:
- Python libraries such as pandas, matlab, sklearn.,
- Data cleaning and processing for machine learning.
- Data Visualizations which include scatter plots and lines of best fit.
- Multiple Linear Regression model prediction of estimating Quarterback Performance.
Predicting Pitcher Performance:
- Used Excel to collect and calculate pitching metrics.
- Plotted bar graphs and scatter plots in Excel that depict pitcher performance predictors.
- Estimated Linear Regression model to predict future performance.
Estimating Potential Quarterback Success:
- Trained and tested Logistic Regression model of quarterbacks to predict future success of rookies.
- Estimated ROC-AUC score of model
Timeline
Summer Camp Assistant Director
Jewish Council for Youth Services
06.2024 - 08.2024
Trainee
Pro Football Focus
05.2024 - 07.2024
Camp Supervisor
Jewish Council for Youth Services
06.2023 - 08.2023
Bachelor of Science - Statistics
University of Illinois At Urbana-Champaign
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