An aspiring Machine Learning Engineer. I'm looking for internships and co-ops in Machine Learning/Data Science for Summer 2021

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.

Software Engineer II (L62), September 2020 - September 2020.

Senior Software Engineer, December 2018 - August 2020

Software Engineer II, August 2015 - November 2018

Software Engineer, May 2013 - August 2015

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