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Software Developer Js

Location:
The Bronx, NY
Posted:
January 21, 2021

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Resume:

Edgar Pineda Torres

(***) ******* adjlxn@r.postjobfree.com Bronx, NY GitHub Linkedin

EDUCATION

City College of New York (CCNY), City University of New York (CUNY) New York, NY Bachelor of Science in Computer Science GPA: 3.32/4.0 Expected Dec 2021 Relevant Coursework:

Algorithms, Database Systems, Data Structures, Computer Organization, Software Engineering, Operating Systems, Web Site Design, Web Server Optimization, Visualization, Advanced Topics in Software Engineering Bronx Community College (BCC), City University of New York (CUNY) Bronx, NY Associate of Science in Computer Science GPA: 3.0/4.0 Dec 2017 SKILLS

Programming Languages:Python, JavaScript, Java, HTML, CSS Frameworks / Libraries:Django, Node.js, Expres, React, Bootstrap, Tensorflow Technologies / Databases:Git/GitHub, PostgreSQL, MySQL, AWS EC2, Mongodb, Figma Operating Systems:Windows, OS X, iOS, Linux

Spoken Languages: Spanish (Conversational)

PROJECTS

ReVamp, Twitter #Codechella Nov 2020 - Nov 2020

● Led a team of 4 to build a web app using React, Flask and Twitter API to allow users to lookup a twitter handle and view the handles “unprofessional tweets”

● Designed result page using React, React-Bootstrap, D3.js and Twitter API to display the given twitter handle

“unprofessional” tweets, personality traits and suggestions to improve profile Discount AmongUS Nov 2020 - Dec 2020

● Built a web app in a team of 3 using React, Flask and PostgreSQL for users to get discounts from employer owned businesses

● Created and formed a database using PostgreSQL and SQLAlchemy to store users’ and businesses information

● Developed a REST Api using Flask for users to retrieve information about employees from employers’ other businesses Find Love Now Oct 2020 - Dec 2020

● Built a web app in a team of 4 using React, Express, Node.js, Bootstrap and PostgreSQL for users to find potential dates

● Created and formed a database using PostgreSQL and Sequelize.js to store profiles’ and matches users’ information

● Implemented the matching algorithm using Express and Node.js to give users’ the ability to find dates

● Applied principles of agile to keep the project on track with deadlines as Project Manager CollabU, ctpHomeHacks Aug 2020

● Built a web app in a team of 5 using React, Node.js and Django for students to network with peers while online learning

● Developed a REST Api using Django REST framework for users to edit their profiles through the user interface

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TeamUp Feb 2020 – May 2020

● Built a web application in a team of 4 using Django, HTML, Bootstrap, and javascript for users to find or create groups

● Formed the database for groups and users using Django models to store user and group information

● Developed the user interface for group pages using HTML and Bootstrap for each group to have their individual page Book Genre Classifier, WiCS Machine Learning Hackathon Mar 2020

● Led a team of 3 to develop a machine learning model using tensorflow to classify the genre of a book

● Implemented a python script that counts number of romance and horror words in each book in to be used as the dataset for the machine learning model

Textbook Trader, CUNY Hackathon Nov 2017

● Built a web application in a team of 5 using FireBase, Node.js, Angular 4, IBM Image classifier, and Ionic Framework for users to find textbooks for their classes

● Implemented user verification system using IBM Watson to determine if user is a college student by taking a picture of ID through the app

● Designed home page user interface using Ionic Framework for user to be able to browse books RELEVANT EXPERIENCE

CUNY Tech Prep New York, NY

Software Developer Student Jun 2020 – Present

● Selected for a technical training program, as one of 180 students out of 400+ applicants

● Learn in-demand technologies like Python 3, Jupyter Notebooks, Pandas, Numpy, Scikit-learn, and SQL as well as industry best practices for exploratory data analysis (EDA), feature engineering, data collection and processing, statistical modeling, data visualization, machine learning techniques, data science process, and big data



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