Software Developer
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As a dedicated programming enthusiast, I invest over 20 hours per week in honing my skills and exploring new technologies. I have completed Harvard's renowned CS50 course, which provided me with a solid foundation in computer science principles and programming fundamentals. Additionally, I recently completed Udemy's comprehensive 100 Days of Code Bootcamp, where I gained practical experience in building real-world applications using a variety of programming languages and frameworks.
My passion for programming is rooted in the belief that technology can be leveraged to solve complex problems and improve people's lives. I'm always eager to learn and explore new ways to apply my skills to make a positive impact.
I am a software developer with experience in various programming languages, including JavaScript, C, Python, and SQL/NoSQL. I also have experience using developer tools such as React, Ruby on Rails, and Docker. My Github profile showcases some of my projects, demonstrating my skills and expertise.
Throughout my work experience, I have honed my software development skills, taking on various roles such as a Data Scientist Intern at Ceridian Dayforce and a Data Analyst Intern at Stars Technologies Services (PokerStars). In these roles, I was responsible for developing machine learning models, managing data extraction and cleaning, conducting tests, and performing hyperparameter tuning to improve model performance.
As part of my personal and professional development, I have also completed courses such as CS50 (CS & AI & Web Development) from Harvard, and 100 Days of Code from Udemy. These courses have given me practical experience with libraries for machine learning, web development, and deep learning, among other topics.
Overall, I have a passion for software development and am eager to continue growing my skills and expertise in this field.
I have a Bachelor of Science in Mathematics and Statistics from the University of Toronto, and I am currently pursuing a Master of Science in Management Analytics (MMA) at Wilfrid Laurier University.
