Luis Perez

Luis Perez Cipollitti

Computer scientist & tech enthusiast

Hello world! I'm a senior at Barry University Miami, graduating in spring 2023 with a Bachelors in Computer Science specialization in Data Analysis and a minor in Business. I'm interested in math, statistics, computer science, finance, data analysis, software development, networking, and cybersecurity. Currently, I have the honor of being the Chief Financial Officer of the Student Managed Investment Fund (SMIF), where I have been able to gain working experience managing part of the University's endowment fund while applying my knowledge in computer science in the organization, automatizing processes and doing analysis using Python.

  • E-mail: luispc1113@gmail.com
  • Languages: English & Spanish
  • Lives In: United States
  • Age: 24

Education

GPA 4.0/4.0
  • May 2023
    Bachelor of Science in Computer Science
    Barry University

    Specialization: Data Analysis

    Minor: Business

    Expected graduation May 2023

  • 2018 - 2020
    Associate in Arts
    Miami Dade College

    College Credit Certificate: Business Specialist

Experience

  • 2022 - Current
    Chief Financial Officer
    Student Managed Investment Fund (SMIF)

    • Perform as the CFO for SMIF, a student fund responsible for a portion of Barry University's endowment fund

    • Manage people to conduct financial research and create elaborated performance reports

    • Oversee and report Risk and Return performance of the fund’s portfolio to the University’s Investment Committee

    • Other roles: Using python for data analysis and to automate processes through a bot

    • Evaluate assets using fundamental analysis and tools such as Bloomberg terminal, Factset, NetAdvantage, and MorningStart

  • Fall 2022
    Physics Teacher Assistant
    Barry University

    • Tutor students in Physics 201 for 10 hours a week

  • Spring 2017
    Pre-Calculus Teacher Assistant
    Catholic University Andres Bello

    • Tutor students in Pre-Calculus

    • Assign and evaluate tests for students worth 5% of their grade

Skills

My Skills

Coding skills

Python
Java
SQL
HTML + CSS
XML

Operating Systems

Linux (Kali & Ubuntu)
Windows
MacOS

Tools

Data Analytics: Anaconda, Jupyter Notebook, Pycharm, Pandas
Software Development: Github, Apache Tomcat (servlet), Netbeans, Android Studio, Visual Studio, Google Cloud Console, Eclipse
Networking: Wireshark, Aircrack-ng, SSH
Databases: MySQL, SSMS, Access
Hardware: Logisim
Fundamental Analysis: Bloomberg terminal, FactSet, NetAdvantage, MorningStart
Portfolio

My projects

Financial Bot Assistant

Python, Finance

Financial bot assistant for SMIF

Student Managed Investment Fund (SMIF) - Barry University

• Objective: A Python bot for Discord connected to Net Advantage and Yahoo’s APIs that assists in recurring tasks.

• Result: Monitoring stop-loss and target prices, creating metrics and performance reports for assets, and tracking considerable negative price movements filtered by an algorithm.

• Tools: Python, Google Cloud Console, Yahoo’s API, NetAtvantage’s API, Discord’s API, Pandas

Design for a CPU-RAM configuration using a hardwired control unit

Barry University research symposium

• Objective: Create a chip design using only logic gates able to fetch, decode, and execute simple programs stored as binary instructions (opcode) in Ram.

• Result: The design can do logic & mathematical operations, for loops, while loops, if statements, etc.

• Tools: Logisim Evolution Emulator, Boolean algebra

• Winner of Barry University’s Science Symposium 2022

Chip Design

Hardware, chip design

Mobile App

App development, Java

Virtual Campus Map Application

Barry University research symposium

• Objective: Create an interactive mobile app that allows students to navigate through campus.

• Result: An app connected to Google Maps’ API, that allows students to search buildings by name, position or services offered on campus.

• Tools: Android Studio, Java, XML, Google Maps’ API

• Winner of Barry University’s Science Symposium 2022

Using 802.11 probe requests to monitor traffic of people

Undergraduate research

• Objective: Measure hourly traffic of people in a public area just by monitoring the probe requests broadcasted by personal devices, which is one of the first protocols used when connecting to a Wi-fi network.

• Result: Using Python and Wireshark, it was possible to create a dataset of probe requests captured in an area. This data was filtered by distance (signal strength) and device type (only mobile devices), thus obtaining a count of devices on an area in a given time interval.

• Tools: Wireshark, Aircrack-ng, Kali Linux, Raspberry Pi, Python, 802.11 standards, Alfa wireless adapter.

• Ongoing project

Monitor mobile devices

Networking, Cybersecurity

Algorithm Comparison

Time complexity analysis, nearest-neighbor algorithm, Graph Theory

Comparison between a bidirectional nearest-neighbor algorithm and a brute force algorithm to find the best Hamilton circuit in a complete graph.

Discrete Math Research

• Abstract: This research evaluates the application of a bidirectional nearest-neighbor algorithm to search for the optimal Hamilton circuit in a weighted complete graph. The result is then compared with the findings given by a brute-force search. This is used to understand the tradeoff in time complexity and efficiency between both algorithms. The research takes the approach of the traveling salesman problem, where the goal is to find the cheapest way to travel through a given set of cities visiting all of the cities only once. For this, data on the average domestic flight prices between cities from the U.S. Department of transportation is used to create the complete graph to be evaluated.

• Key concepts: Graph Theory, Network Analysis, Hamilton Circuits, Complete Graph, Time Complexity, Traveling Salesman Problem (TSP), Nearest-Neighbor Algorithm.