Advanced Data Analyst
- Built Machine Learning models such as Logistic Regression, KNN, SVM, Decision Tree, and Gaussian Naive Bayes to create a predictive model that can be utilized to forecast a driver’s likelihood to cause an auto accident. This goal of this effort is to begin to create a suite of predictive analytics that can be commoditized within SambaSafety’s current Risk Management Solution.
- In order to create the model, I extracted over 200 features from original data stored in MongoDB and selected main features that may affect drivers’ accident risk with pandas and NumPy.
- Created the ability for SambaSafety to provide customer and channel-partner reporting by conducting exploratory data analysis, data transformation, and data visualization of motor vehicle records data with Tableau.
- Developed and improved pre-sales models utilizing Python that were utilized to demonstrate the achieved and predicted results of utilizing the software, which resulted in the wins of two of the company’s largest 2017 deals.