Hi! I’m Jason Kissel, a data analyst passionate about turning messy data into meaningful insights.
This site showcases my analytics projects, visualizations, and process-focused write-ups.
Hi! I’m Jason Kissel, a data analyst passionate about turning messy data into meaningful insights.
This site showcases my analytics projects, visualizations, and process-focused write-ups.
This project explores historic NFL odds and outcomes. I used a combination of web scraping, data cleaning, and analysis to identify trends and patterns across seasons. The goal is to document the full process from data acquisition to visualization, highlighting the decision-making at each step. Future additions will include interactive Tableau dashboards and visualizations to illustrate key findings. Tableau Dashboard Example Looker Studio Example Code Example # Placeholder for data cleaning import pandas as pd df = pd.DataFrame({'team': ['A', 'B'], 'odds': [1.5, 2.0]}) print(df.head()) TEST HERE