Skip to content
View fbarffmann's full-sized avatar
2 followers · 0 following

Block or report fbarffmann

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. citibike-covid-analysis citibike-covid-analysis Public

    Analyzed NYC CitiBike usage during March 2020 to assess the impact of COVID-19 using Python and Tableau. Includes ridership breakdowns, user type trends, and interactive dashboard.

    Jupyter Notebook

  2. tornado-damage-dashboard tornado-damage-dashboard Public

    Built a Flask dashboard visualizing 1,000+ US tornadoes from 2023 using Leaflet.js and MongoDB. Interactive maps show tornado magnitude, damage, and frequency.

    Jupyter Notebook

  3. Home_Sales Home_Sales Public

    Analyzed 25,000+ home sales using PySpark and SparkSQL. Identified pricing trends by year built, home features, and view rating. Optimized query run-time by 70% using caching.

    Jupyter Notebook

  4. sql-challenge sql-challenge Public

    Designed and queried a PostgreSQL database of 300,000+ employee records. Analyzed salary trends, department structures, and manager assignments.

  5. credit-risk-classification credit-risk-classification Public

    Classified 19,000+ loans as high-risk or healthy using logistic regression. Achieved 100% precision for healthy loans and 84% precision for high-risk loans.

    Jupyter Notebook

  6. Pymaceuticals Pymaceuticals Public

    Analyzed cancer drug treatment data using Python and Matplotlib to compare tumor response, survival rates, and metastasis across regimens. Includes summary statistics and visual insights.

    Jupyter Notebook