Experience

Education

Fordham University

September 2015 - May 2019

Computer Science, B.Sc.

My formal education at Fordham was mainly based in C++ but I also utilized some Java and Python. Here, I learned the fundamentals of computer science and more. I had taken a variety of courses, from the basics of CS to a Theory of Computation course, and courses like Algorithims and high level mathematics in between.

I also enrolled in elective courses like Data Mining and two graduate courses my senior year: Machine Learning and Artificial Intelligence. It was in these courses where I supplemented my self-taught understanding of Data Science with in-depth, highly complex, theoretical components.

Work

Scout.

January 2019 - June 2019

Data Engineering Internship

Worked directly alongside data and engineering teams to assist them build new and innovative tools that help clients underwrite real estate values and identify and determine service provider expertise.

Responsibilities included: assisting to write code to acquire new data sets from various sources; visualization and exploration of existing data sets to recognize trends; assisting to build new innovative visualization tools and dashboards; and working with Machine Learning solutions to enhance processes and analytics.

Thinkful Bootcamp

June 2018 - March 2019

Data Science Track :: Big Data with Spark, Tensorflow and Keras

Extracted actionable insights from a myriad of data sources, using Spark for big data.

Built and executed a pipeline in batch mode, and advanced to processing live streams of data, posing research questions to form possible answers along the way.

Used Python for programming, relying on libraries like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-Learn for machine learning.

Explored a multitude of machine learning algorithms ranging from Bayesian classification to Support Vector Machines for Supervised Learning and clustering, neural networks, and natural language processing for Unsupervised Learning.

Lyle, Inc.

March 2017 - August 2017

iOS Developer Internship

Worked directly with the CTO to bolster the application’s functionality using Objective-C.

Reworked the user interface on the profile and chat page screens to improve user experience.

Additional Coursework

Brown University

Fall 2013 and 2014

Computer Science Forum

Invited to attend a series of Computer Science and Robotics lectures and demonstrations.

Columbia University

Summer 2013

Computer Graphics through Game Programming

Re-engineered Pong: used parametric equations, linear algebra to detect and resolve collisions, and animated elements according to a global clock.

Re-engineered Asteroids: used affine transformations to move characters as a series of translations and rotations, applied texture maps, and applied the Pythagorean theorem to detect and resolve collisions.