Research Publication: Published a research paper on AI and computer vision at Duke University, contributing to advancements in deep learning techniques.
Project Leadership: Led a 2D Unity game development project, resulting in a game release with over 500 beta downloads and positive user feedback.
Teaching Excellence: Recognized for assisting students in improving their academic performance as a teaching assistant for computer systems courses at Southern University of Science and Technology.
Developed a predictive model to determine Amazon review scores based on user feedback, utilizing feature engineering and exploratory data analysis.
Performed feature engineering by creating “Helpful” and “Unhelpful” scores from HelpfulnessNumerator and HelpfulnessDenominator; handled missing values with simple imputation, primarily on the Score feature.
Standardized numerical features using StandardScaler for improved model training, and applied advanced encoding techniques for categorical variables like ProductId and UserId to enhance memory efficiency.
Trained a Logistic Regression model with hyperparameter tuning and feature selection, achieving a final accuracy rate of 0.68 and evaluated based on Area Under the ROC Curve (ROC-AUC).
Executive Group Member - Penn State University, Harrisburg, PA (2021 - 2023)
Participated in a coding hackathon, securing 5th place among 53 teams.
Developed solutions for complex coding challenges using Python in a timed competition, with ranking based on accuracy and speed.
Worked closely with a team to brainstorm and implement efficient algorithms to solve various problem statements.