Elvin Vanathayan

***** ******* **** *****, ******, Maryland 20861

adpxvu@r.postjobfree.com • 301-***-****

Education

University of Maryland, Baltimore County

BS, Computer Science, AI & ML Track, GPA: 3.4

Expected Graduation: May 2022

Relevant Coursework

● Artificial Intelligence

● Calculus and Analytical Geometry I & II

● Computer Science I & II

● Data Structures

● Data Science

● Database Management Systems

● Design and Analysis of Algorithms

● Discrete Structures

● Linear Algebra

● Machine Learning

● Principles of Operating Systems

● Probability & Statistics

● Software Engineering

Skills

● Python

● R

● MATLAB

● C/C++

● Linux

● Databases

● Data Visualization

● Pandas/Numpy

● TensorFlow/Keras/Scikit-Learn/

Pytorch

● MLOps

● Software Engineering

● Object Oriented Programming

● Hadoop/Spark

Projects (There are many more projects. I only listed a few that highlight import skills)

● Computer Science 1 - Connect 4 Spring 2020

Utilized OOP design patterns to create a game class

Programmed basic AI that plays against the user on various difficulties

● Computer Science 2 - Light Rail Simulation Fall 2020

Utilized a linked list and other classes to create a running simulation of the Baltimore light rail system

● Personal Project - Basic Machine Learning Model Winter 2021

Trained a basic neural network model that to classify numbers given an image (MNIST)

● Data Structures - Multiple Projects Spring 2021

Completed multiple projects implementing various data structures such as binary search trees, heaps, hash tables, and queues

● Principles of Operating Systems - Multiple Projects Summer 2021

Complete multiple projects implementing various functions/sub systems/kernels (some of which involved multithreading) to build a complete and working operating systems

● Software Engineering - Semester Long Project Fall 2021

Collaborated with a team to create and present a product using the SDLC process and agile methodologies

● Machine Learning - Multiple Projects Fall 2021

Completed multiple projects implementing, training, and testing models for various different tasks

These projects also included implementing data visualization as well as data preprocessing and feature extraction

These projects focused on supervised learning (both regression and classification), dimensionality reduction (PCA), decision trees/random forests, unsupervised learning

(clustering), neural networks, deep learning and convolutional neural networks

Contact this candidate