Farid Manuchehrfar, MSc, Ph.D

Experienced PhD candidate with a demonstrated history of working in the higher education industry. Strategic Thinker with leadership, tam-working, and cross-functional skills. I have the ability to conceptualize and provide innovative solutions to complex high dimensional data analysis problems and reducing the computational cost of the analysis. I have solid background in data analysis, machine learning, mathematical logic behind the machine learning algorithms. I have experience with the large scale data analytics, multivariate statistics, and data visualization. I am proficient with the several programming languages, including Python, R, C++, Matlab, and Fortran. I also have experience working with Tableau, InkSpace, MySQL, Microsoft SQL Server, and advanced Excel. I have passed courses on Advance data science, bioinformatics, statistics and machine learning, python for data science and machine learning, and database management system. I have experience with supervised and unsupervised machine learning methods, including K-means clustering, hierarchical clustering, density based clustering, Principal Component Analysis (PCA), Singular Value Dicomposition (SVD), K-Nearest Neighbor (KNN), Linear and Logistic Regression, Support Vector Machine (SVM), Decision Tree, Random Forest, and XGBoost. I am passionate about learning new things more and more.