Data Analyst skilled in SQL, Python, Excel, XLMiner. Creative solutions for tough problems. @JasonDean
Data Analysis was performed utilzing books data set. Python was used along with Pandas and statsmodels API to perform the analysis and determine a correlation between variables.
Weather information was gathered from the Nation Weather Service API and a function was created to allow user to enter City and State to obtain the 7 day forecast.
Python was used to perform an analysis on whether a customer is more or less likely to default on a loan based on income and loan amount. Pandas, Seaborn, MatplotLib, Numpy and Scikit-learn
Telecom churn prediction using SVN: Using Machine Learning to perform a user behavior analysis and predict customer churn utilzing customer data set. Pandas, Numpy, Seaborn, Scikit-learn and MatplotLib was used to perform the analysis.