Overview

Demonstrated artificial intelligence, machine learning, mathematical and statistical modeling knowledge and skill
Experience using four or more modeling techniques such as the following: OLS, logistic regression, GLM, credit scoring, tree-based methods, time-series and forecasting, survival analysis, neural networks, nonlinear support vector machines, association rule learning, principle components analysis, K-means clustering, k-nearest neighbor classifiers
Well-developed programming skills – specifically in SAS or SQL and other packages with statistical and machine learning application, e.g. R, SPSS, Python
Advanced in Microsoft Office (Outlook, Word, Excel)
Overall experience in with at least four comprised of an analytical role
Experience with DL or machine learning fundamentals, parallel computing and distributed systems fundamentals, or data structure fundamentals
Experience with C, C++, or Python programming

Languages

Artificial Intelligence

Education

Honors Degree

Other skills

Data Visualization, Digital Marketing, Java Script, Logo Design, Mobile App Developer, phpMyAdmin, poster designer, SEO, Social Media Management, Video Broadcasting and more...