About
I'm a graduate student at UNC Charlotte with experience in software development and data analytics. My passion lies at the intersection of data science and practical application, where I combine analytical thinking with technical skills to solve real-world problems and deliver measurable results.
Currently, I'm a Graduate Teaching Assistant at UNC Charlotte, where I evaluate student work and coordinate course logistics. I also serve as an Academic Tutor, mentoring undergraduate students in statistics and applied mathematics while adapting teaching methods for diverse learners.
My technical expertise spans data analytics, machine learning, and web development. I'm proficient in Python, SQL, and various data visualization tools like Power BI and Tableau. I've successfully completed projects ranging from building recommendation systems to analyzing market trends and predicting credit approvals. I'm also certified in AWS Cloud Architecture and Machine Learning Engineering.
Technical Skills
Experience
Graduate Teaching Assistant
UNC Charlotte
Evaluate and grade student labs and assignments, delivering detailed feedback and escalating academic concerns to the course instructor. Coordinate weekly coursework logistics, including deadline management, Canvas announcements, gradebook accuracy, and submission tracking.
Academic Tutor
UNC Charlotte
Mentor undergraduate students in statistics and applied mathematics courses (STAT 1220, MATH 1101, MATH 1141, MATH 2164), reinforcing concepts in probability, statistical inference, and linear algebra. Adapt teaching methods for diverse learners and provide individualized support to improve student performance.
Certifications & Honors
1st Place, UNC Charlotte Hackathon (2023): Event tracking integration in Canvas
AWS Cloud Architecture Certificate
AWS Machine Learning Engineer - Associate
Academic Projects
AI-Powered Gardening & Plant Health Analysis
Developed an AI-powered gardening application that identifies plants, detects weeds, and analyzes plant health using machine learning and computer vision. Integrated PlantNet and plant disease detection APIs for species classification and diagnosis. Built and tested ML workflows with labeled image datasets, implemented a Python backend for model inference, and explored LLM integration for natural-language recommendations.
SRR Music Streaming Platform
Developed a full-stack web application delivering AI-powered personalized music recommendations using the OpenAI API. Engineered recommendation logic using ChatGPT-Turbo models to interpret natural language queries. Built Python-based backend with REST APIs connecting frontend UI to AI and database layers. Designed system architecture with UML and sequence diagrams, and managed local database configuration for scalable recommendation delivery.
Anime Recommendation System
Designed normalized relational schemas (3NF) and query-optimized datasets with 17,500+ titles. Built collaborative filtering models to predict user preferences, improving recommendation engagement by 22%. Documented database schema design and user-privacy considerations.
Automotive Sales & Market Stability
Used clustering to segment consumer groups and created Tableau dashboards revealing market risks and business opportunities. Developed dashboards visualizing market trends and financing risk exposure. Proposed inventory strategies to reduce revenue volatility in high-risk segments.
Credit Card Approval Prediction
Built machine learning models on 50,000+ credit records to improve consumer targeting and reduce risk in lending decisions. Boosted prediction accuracy by 17% via feature engineering, hyperparameter tuning, and robust validation. Delivered insights to reduce applicant misclassification risk.
Cost of Living & Unemployment Dashboard
Created visual dashboards showing economic trends across regions to support small business strategy. Integrated data pipelines (Python + SQL), automating ingestion and cleaning of 100k+ records. Produced governance-style reports and visualizations to guide risk-based decisions.
Let's Connect
I'm always interested in hearing about new opportunities, projects, or collaborations. Whether you have a question or just want to connect, feel free to reach out!