Python Data

Dino Becaj

Phone: 347-***-**** GitHub: https://github.com/dino-code

Email: ******@*******.***

Education FORDHAM GRADUATE SCHOOL OF ARTS AND SCIENCES (05/2021) MS Computer Science

GPA 3.9/4.00

FORDHAM UNIVERSITY (05/2019)

BS Global Business

GPA 3.63/4.00

Work

Experience

FORDHAM GRADUATE SCHOOL OF ARTS AND SCIENCES (10/2019) – (05/2021) Software Development Research Assistant

• Designed and built a multilingual taint analysis tool (py_cpp_taint.py) that tracks tainted variables through C++ functions called from Python.

• Programmed several test Python and C++ programs to be analyzed by multilingual taint analysis tool

• Designed multilingual software using Flask, HTML/CSS, JavaScript, C++, and Python

• Used Git and GitHub for source control

• Documented research progress

• Managed a team of 5 researchers who performed research subtasks. TAKE-TWO INTERACTIVE (06/2020) – (08/2020)

Marketing Technology Product Management Intern

• Worked across various different teams in the capacity of a project manager to accomplish goals.

• Designed and implemented dashboard views of key game telemetry, media, and sales data

• Performed competitive analysis of personal identifiable information collected by competitors

• Presented findings during a final presentation to executives across departments Projects

Capstone Project: Virtual Reality Classroom (05/2021) Learned to program in Unity game engine and implemented a virtual reality classroom for Facebook’s Oculus Quest 2.

• System allows professors and students to create accounts using email addresses.

• Professors can create a room that scales based on the maximum number of students they wish to host.

• Students and professors can move around the room and communicate with spatial audio

(proximity-based, to allow for small group work).

• Created a functionality that allows for students and professors to draw on a whiteboard during lectures.

Data Mining Graduate Course Final Project: Income Predictor (05/2020) Worked in team to implement a big data classifier in Python that classifies new datapoints as

>$50k or <=$50k based on continuous and categorical variables.

• Cleaned dirty census income data by imputing/removing columns with missing data

• Implemented Naïve Bayes, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), KMeans, and Random Forests machine learning algorithms as part of an ensemble method to analyze the data

Artificial Intelligence Graduate Course Final Project: Truth Table Enumeration Agent

(12/2020)

Used Python to implement an autonomous agent that navigates a 2D 4x4 grid with obstacles.

• Agent builds possible models of a 4x4 grid (including pits that it could fall into and monsters that could eat it), then disqualifies models based on model possibility given the agent’s knowledge of the world (data it gathers from making moves). Dino Becaj

• Agent sorts remaining models by probability of danger and then moves to the cell with lowest likelihood of danger.

• When compared to a random agent, the new agent had superior performance, which provides support for it being a rational agent.

Languages

PYTHON, JAVA, C++, C#, SQL, HTML, CSS, JAVASCRIPT, MIPS ASSEMBLY Relevant

Coursework

&

Experience

Software Engineering Algorithms Data Mining Database Systems Computer Science I & II Operating Systems Data Structures Artificial Intelligence Financial & Managerial

Accounting

Web Analytics Global Finance Finance

Computer Elements and

Architecture

Consulting Cup Business Challenge (2nd place/ 300 teams)

• Evaluated Tesla, Inc.’s performance as a firm by analyzing its industry standing, brand awareness, financial performance, and strategic direction.

• Presented idea to an audience of 300+: Designing vehicles with solar panels that span each vehicle’s surface (to alleviate the need to wait at charging stations).

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