I'm passionate about coding and software development. I enjoy tackling complex problems and turning innovative ideas into functional programs. Continuously learning new technologies keeps me motivated and at the forefront of this dynamic field.
Developed a real-time face detection application using OpenCV and a pre-trained Caffe model, capable of capturing video from a webcam and detecting faces with high accuracy.
Implemented features to display bounding boxes and confidence scores for detected faces, with an adjustable confidence threshold for enhanced detection control.
Engineered a machine learning model with Python libraries (pandas, scikit-learn, matplotlib, seaborn) to analyze NBA players' ages and points per game, enhancing predictive accuracy by 25%.
Designed and implemented a linear regression model to predict points per game based on player age; improved predictive accuracy by 18% using mean squared error as a performance metric.
Developed a predictive model to forecast future stock prices using historical data and Facebook's Prophet library, enhancing data-driven decision-making.
Implemented data preprocessing, model fitting, and visualization techniques in Python to create accurate and interpretable stock price predictions.
Architected user interfaces utilizing JavaScript, HTML, and CSS to deliver a user-centric and responsive experience and integrated data-driven graphs to enhance the website's presentation.
Orchestrated the integration of Jupyter notebooks for data manipulation, resulting in a 25% reduction in data processing time and enabling real-time insights for agile decision-making.
Designed and structured the platform by embedding TradingView widgets, ensuring seamless integration and layout consistency.
Designed and structured the platform by embedding TradingView widgets, ensuring seamless integration and layout consistency.
Applied CSS to tailor the appearance of TradingView components, enhancing the user interface for optimal readability and visual appeal.
Implemented JavaScript to enable dynamic features, allowing for real-time data updates and interactive charting capabilities, enhancing user engagement and experience.
Selected from a pool of thousands of candidates to work closely with leaders of RippleMatch’s Leadership Team.
Recognized by RippleMatch’s Leadership Team as top 1% in terms of intern performance out of a class of 500+ active interns
Leveraged various growth strategies and tools including social media, email marketing, presentations, and networking to grow awareness on campus and strategically assessed growth and performance metrics to improve, change and/or help design new growth strategies.
Designed an intuitive user interface that allows players to make moves by clicking on the game grid.
Implemented game logic in JavaScript to determine winning combinations and detect game outcomes (win, draw).
Showcased the project online via YouTube, including a live demo of the game.
Relevant Coursework: Object Oriented Programming, Data Structures & Algorithms, Computer Organization & Architecture, Automata & Computability, Operating Systems
Public Health - Biology Track
I'm a tech enthusiast who's passionate about programming. I love learning new languages and tackling fresh challenges. The financial markets fascinate me, and I'm really into machine learning too. Always eager to grow and create cool stuff in these fast-paced fields.
I game, I hoop, and hike trails. Life's all about having fun, whether I'm in front of a screen, on the court, or out in nature.
Glacier National Park, July 2024