I'm pursuing a master's degree in Applied Mathematics at Northeastern University - College of Science with a concentration in Machine Learning and Statistics.
Performed Time Series Analysis of average runs of opening batters in baseball from years 1871 – 2015 with a Markov Chain with 9 states on the dataset (rows = 101,333) obtained from Sean Lahman's website.
Modeled Predator (Bald Eagle) – Prey (Rodents) population growth using Lotka-Volterra equations modified with weak Allee effect and pesticide constant and obtained simulated population plots with/independent of time.
Proposed analytical solution for solving special cases (constant coefficient, self-symmetric) for set of first order coupled time varying coefficient ordinary differential equations. Also, implemented Runge-Kutta 4th order algorithm for solving set of non-homogenous coupled time varying ODEs.
This article contains some bit trick utilities that I use in my future codes.
Python, R, Java, SQL, PHP, Perl, HTML, CSS, TypeScript, Visual Basic, MATLAB, Mathematica
Regression, Classification, Clustering, Dimensionality Reduction, Decision Trees, Random Forests, Bagging, Boosting, Neural Networks, Feature Engineering, Principal Component Analysis
Hadoop, Apache Spark, NumPy, pandas, Matplotlib, scikit-learn, SymPy, Jupyter
Git, Jenkins, JIRA, Docker, Excel, IntelliJ IDEA, PyCharm