Michael Frood

Background

About Michael Frood

I have been working on projects involved in data analytics and physics. I have years of experience constructing predictive statistical simulations to describe bacterial evolution to antibiotics. I took advantage of a lot of overlapping knowledge from biophysics to transition into data analysis through the bootcamp Lighthouse Labs. I like to work to find causes of and solutions to problems. I enjoy learning what others have to teach me so that I can help people with what I have learned. I'm always happy to connect with people. Technical Skills Programming Languages: Python, SQL, MATLAB Libraries & Tools: Numpy, Pandas, Scipy, BeautifulSoup, Pypdf, Sqlite3, Matplotlib, Seaborn, Plotly, Scikit-learn, Pycharm, pgAdmin, DBeaver, Anaconda, VS Code, Jupyter Lab, Linux, Postman, Excel, Microsoft Power Apps, Git, GitHub Database: PostgreSQL, MySQL, SQLite Visualization: Tableau, matplotlib, seaborn, plotly, MATLAB. Data Analysis: Hypothesis Testing, Data Wrangling, Data Cleaning and Quality Analysis, EDA, statistical modelling (classification, regression, clustering), predictive modelling, ERD and normalization of relational databases, Markov Chain Monte Carlo and Gillespie Algorithms. Math: Statistical Mechanics, Linear Algebra, Calculus and Differential Equations