
Innovative Computer and Electrical Engineering student with hands-on experience in manufacturing documentation, quality procedures, technical analysis, and process improvement. With a growing specialization in artificial intelligence and embedded systems. Strong analytical and communication skills with the ability to work cross-functionally. Experienced in developing machine learning models, predictive analytics dashboards, and hardware simulations. Dedicated to designing intelligent, data-driven systems that bridge the gap between electronics and software technology.
Built and trained a convolutional neural network (CNN) to classify images into predefined categories with over 90% accuracy. Applied data augmentation and regularization techniques to enhance model performance
Developed a personal portfolio website to showcase technical projects and coursework, implementing a responsive design for both desktop and mobile devices.
Designed an interactive dashboard to analyze trends, variability, and performance metrics using regression and time-series analysis.
Implemented machine learning models to predict stock price movements based on historical data.
Analyzed operational datasets using Excel and Python to identify inefficiencies and performance trends.
Build dashboards to visualize KPIs, supporting data-driven decisions.