My teaching method is by explaining every small details until my students can see the bigger picture clearly.
I have successful students in the past that achieved their goals. I love to teach and make my students become competitive in their profess.
Lehman CS, full stack engineer, launched a successful web app which helped users to simulate trade online stocks, worked at mthree
I have tutored my own siblings and nephews in math, coding and English. I have taught around 5-6 students privately.
(347) 358 - 4942
Technologies: Git, GitHub, Eclipse, Linux, Netbeans, Spring Boot, REST API, SOAP, Maven, Thymeleaf, Apache Cassandra, Cucumber Testing, React, Scripting, Java Persistence API
January 2020 Lehman College of The City University of New York Bronx, NY
Bachelor of Science Computer Science
Coursework in Data Structures, Algorithm Analysis, Cryptography, Machine Learning, Statistics, Networking
October 2020 to Current
Mthree New York, NY
Full Stack Developer Trainee
Java Object-Oriented Programming with MVC design patterns and Unit Testing methods.
Developed complex and robust applications with dependency injections utilizing Spring Boot/Maven.
Practiced Agile development methodology with Cassandra, Cucumber Testing Framework and React.
October 2020 to January 2021
The Software Guild New York, NY
Software Engineer Bootcamp Trainee
Developed web projects efficiently using Java, SQL and React, specifically with Spring Boot framework.
Developed back-end components in Java and SQL to connect applications with web services.
Full Stack Web Application - "Trading Game". Mthree - New York (Dec 2020 - Jan 2021)
Launched 2 successful online web applications for stock market simulation which in total reached 50 users and helped them trading products online
Full Stack Java Application - "Tesla Financial Orderbook". The Software Guild - (Oc 2020 - Dec 2020)
Developed and designed a MVC console-based application to simulate online trading that helped with buying and selling stocks online
I have developed everything from the front-end to the back-end utilizing Java, SQL, JUnit testing and Spring Frameworks
Machine Learning - "Heart Disease Presence". Personal Project - New York (07/2019 to 11/2019)
Performed data analysis and data visualization with multiple machine learning classification models on a raw dataset with 300 entries and 14 attributes in Python
Developed data sets and data pipelines for better data analysis and pattern recognition
Achieved 80% accuracy in finding the presence of disease through better data processing pipeline
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