Hey There, It's Me
Abraar Patel 
And I am
Eager to embark on a dynamic journey of professional growth and hands-on experience in the tech industry.
Resume
Eager to embark on a dynamic journey of professional growth and hands-on experience in the tech industry.
I am a recent graduate from the University of Houston with a B.S. in Computer Science. I have profound interest in the field of Software Development , Software Engineering and Data Science.
I have a strong desire for continual learning, constantly seeking opportunities to expand my knowledge and skills, with a goal to thrive in a professional work environment.
During my free time, I engage in playing mobile games, venture into nature, spend time with family and friends, and dedicate myself to side projects, all while nurturing a passion for helping others succeed.
Python -
Most proficient in Python programming
C++ -
Proficient in C++ programming
C# -
Knowledgeable about the basics of C# programming
JavaScript -
Proficient in JavaScript and it's frameworks
SQL -
Proficient in utilizing SQL for database management
HTML -
Proficient in utilizing HTML for web development projects
PHP -
Knowledgeable about the basics of PHP programming
Tableau -
Knowledgeable about the basics of Tableau
R -
Proficient in utilizing R for data science projects
CSS -
Proficient in CSS
A fuel delivery web application created that calculates the price of fuel based on the amount of fuel requested, the client's location, history and the company's profit margin.
An exchange rate calculator application designed to help users quickly and accurately convert currency values between various exchange rates.
Personal Portfolio designed and created to showcase the technical skills and projects.
Program that features a menu of four games: Hi-Lo guessing game, Magic 8-ball, Palindrome, and Rock/Paper/Scissors and Tic Tac Toe game.
Comparing machine learning algorithms for classifying non-small-cell lung carcinomas using pre-processed and regularized axial chest CT scan images of patients.
Utilizing machine learning algorithms to predict the popularity and number of installs of Google Playstore applications.
Creating predictive models that can forecast traffic volume on highways based on various features such as weather conditions, national holidays, time of day and other relevant factors.
Applying reinforcement learning to learn and modify promising paths in a two-agent setting with an understanding of fundamental concepts in reinforcement learning, such as utilities, policies, learning rates, discount rates, and their interconnections.