Machine Learning Computer Science

LEYKI REYNOSO JR

517-***-**** **************@*****.*** www.linkedin.com/in/leyki-reynoso-jr-b0b9a5141

github.com/Leyki-Reynoso

EDUCATION

NEW JERSEY INSTITUTE OF

TECHNOLOGY

Bachelor of Science, Computer Science

BERGEN COMMUNITY COLLEGE

Associate of Science, Computer Science

Graduation: May 2023

Graduation: June 2020

SKILLS

Programming: RStudio, SQL, Excel, JCL, Python, z/OS, USS, Rexx, Cobol, HTML, CSS, JavaScript, React Native, Django, Assembly, C++, C, Bash, MATLAB, PHP, Git, Java. Relevant courses: Data Science, Data analysis, Statistics, Calculus III, Linear Algebra, Data Structures and Algorithms, Web Development, IBM Z Xplorer 2023, Master the Mainframe 2018. PROJECTS

Personal Project – Analysis of Chicago Divvy Bike Trips[link]

● Analyzed 6 million bike trips in Chicago using RStudio, uncovering key patterns in user behavior between members and casual riders by comparing trip duration, distance, and station usage.

● Utilized RStudio with libraries such as “dplyr” and “tidyr” for data manipulation and tidying, effectively cleaning and preprocessing the Divvy bike trip data.

● Leverage RStudio and the “ggplot2” library to effectively ilustrate user patterns and station activity. Project Leader – Public Transportation College Project[link]

● Collaborated with college administration and local government to assess public transportation infrastructure and its impact on academic success and enrollment.

● Led the largest survey on campus, collecting and analyzing data from over 1,100 participants using Excel.

● Presented key insights and recommendations to the college president and Board of Trustees. CERTIFICATIONS

Google Data Analytics - Coursera[link]

● Developed key analytical skills in data cleaning, analysis, and visualization using tools such as spreadsheets, SQL, R programming, and Tableau.

● Cleaned, organized, and analyzed data for calculations and insights using spreadsheets, SQL, and R. Data Scientist: Machine Learning - codecademy[link]

● Mastered data analysis techniques including data cleaning, exploration, and feature engineering to prepare datasets for machine learning models.

● Developed skills in Python, SQL, and machine learning libraries to efficiently manipulate and analyze datasets. EXPERIENCE

Technology Analyst – August 2023 - June 2024

Fiserv, Berkeley Heights, NJ

● Implemented Cucumber and JUnit on Java for automated testing.

● Automated the testing process in the company's pipeline using java.

● Used Java and Spark to efficiently create synthetic data, improving testing effectiveness. Software Developer – September 2022 – July 2023

ScanAvert, UrRecalls solution/project work, Newark, NJ

● Successfully managed the back end infrastructure by utilizing WinSCP to control the AWS server.

● Proficiently handled database management tasks using the Django framework in Python.

● Upgraded the react-navigation dependencies by updating the JavaScript, HTML, and CSS files, ensuring compatibility and improved functionality.

● Implemented a new feature for the app that utilized the Sifter API to provide accurate information on food products.

Researcher – STEM Student Scholars Program, May 2019 – September 2020 Bergen Community College, Paramus, NJ

● Led a project with the goal to create a facial recognition application using openCV and apply it to home security.

● Participated in the ECC Conference at Marist College, NJ, fostering interest in mainframe technology.

● Presented the project to college administrators, and the Board of Trustees for Bergen Community College. LEADERSHIP/CAMPUS INVOLVEMENT

Director of Service – Phi Theta Kappa Honor Society, Summer 2019 – Summer 2020

● Coordinated student volunteer teams with local charities and nonprofits to organize community service events, including donation drives, litter cleanups, charity walks, senior citizen outreach, environmental sustainability projects, and more.

● Awards: Distinguished College Project (2020); distinguished chapter officer team(2020).

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