Collaborating with a team to build a financial literacy platform that educates users on investing, budgeting, and saving.
Hello, I'm
Zikora Chinedu
Computer Science Undergraduate @ University of Toronto
Hello, I'm
Computer Science Undergraduate @ University of Toronto
Get to Know More
2+ years
Programming Experience
2nd Year
University of Toronto
Hey there! My name is Zikora and I’m an undergraduate at the University of Toronto,
doing a Computer Science Specialist, a Math minor and a Stats minor. I’m interested
in Machine Learning/Software Engineering, and in particular its intersection with the financial space.
I am currently working with the Sharpe Financial Research Group as a Quantitative Finance
Analyst, creating cool stuff to simulate the financial performance of various trading
strategies. I also work part time as a tutor, in an effort to help others learn better.
When I’m not coding or teaching, you’ll likely find me on the soccer field, at the gym,
or playing piano. I’m also an avid reader, chess enthusiast, and a fan of mini-documentaries
on YouTube, which feed my curiosity about the world.
My aspiration in life is simple
yet profound: to be happy, and to use my skills to positively impact the people around me
and the broader community. Through my work, I hope to bridge the gap between technology and
society, driving innovation that truly makes a difference.
Explore My
Collaborating with a team to build a financial literacy platform that educates users on investing, budgeting, and saving.
Implementing secure API endpoints using Next.js, PostgreSQL, and TypeScript to manage student-teacher access control.
Optimizing database queries and authentication flows to enhance platform performance and security.
Developing and backtesting algorithmic trading strategies using statistical and machine learning techniques.
Construct advanced financial models and conduct quantitative research.
Leveraged machine learning models and conducted extensive EDA to develop predictive analytics solutions, including salary prediction and loan default forecasting, enhancing data-driven decision-making.
Utilized Python and NLP techniques to develop a framework for the company’s chatbot, using data preprocessing, intent recognition, and response generation to enhance user interactions.
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