As an analyst, I’ve worked with quite large data that demand high levels of expertise and quantifiable results. I worked on some notable case studies with various types of data throughout. I’ve also been pursuing my passion for data in my spare time. Over the past, I’ve been able to achieve and undertaking the following. • I have done extensive training in SQL, R, Machine learning algorithms, Data Visualization, Python analytics (Pandas/NumPy, etc…), Hive, HADOOP, Spark. • Completed a case study using Loans data from a bank to optimize and Predict Loan Defaults with Logistic Regression, the result has shown an increase in the revenue and a significant decrease in the defaulting loans.• Have quite an extensive knowledge in forecasting analytics using libraries such as Prophet or ARIMA in portfolio optimization. • Undertaking training in AWS CLOUD SERVICES and TensorFlow Deep Learning in my spare time right now.
For more information, have a look at my curriculum vitae .
The main objective of the project is to set out a good predictive Model to the extent of its limitations, from the collected existing information on the quality of the loan and improving the profit level with the status of the loans, to set out the various variables of these standards and benchmarks to qualify for a good loan and to extract from it a list of minimum variables to predict a quality standards loans in consideration for approval.
LinkA data analyst with robust problem-solving skills, skilled in outstanding data visualization (creating and designing) solutions in a data-driven environment.Contact me by clicking in one of the icon down below See You Soon.