🎓 Education: Master's in Computer Science at North Carolina State University (Aug 2023 - May 2025)

🌟 Summary: Results-driven Computer Science graduate with a 3.86 GPA, passionate about data engineering and analytics, software, web, and game development, machine learning. Actively seeking innovative projects and collaborations.

📧 Contact: [email protected] | LinkedIn | Portfolio | GitHub

📍 Location: Raleigh, North Carolina

• Programming Languages: C++, Python, C#, C, R
• Web Technologies: HTML, CSS, JavaScript (Certified)
• Databases & OS: MongoDB, SQL, Linux, Windows, PostgresSQL
• DataScience: Numpy, Pandas, Matplotlib, Seaborn, Scikit Learn, Tensorflow, Keras, PyTorch, OpenCV, Kafka, Apache Airflow, Docker, PySpark
• Frameworks: React, REST, ZMQ, V8, Flask
• Development and Analytics Tools: VSCode, Postman, Heroku, PowerBI, GIT, Bitbucket, JIRA, Confluence, Tableau, Github Actions, Amazon Web Services (AWS), Render
• Game Development: Unity, Blender, Cascadeur, SFML (Certified),

• Analyzed 100+ student submissions to compare dual vs. single-submission homework effectiveness.
• Evaluated the impact of LLMs on dual-submission policies, identifying trends in academic integrity.
• Increased grading efficiency by 20% through data-driven insights on homework submission patterns.

• Developed and implemented Python scripts to streamline telemetry test data collection process, resulting in a 20% increase in data accuracy and efficiency.
• Optimized InfluxDB queries, reducing sensor data retrieval time from 50s to 1-2s.
• Investigating migration from Flask to FastAPI to improve API performance, maintainability, and documentation.
• Designed a new database schema to prevent test session overlap and improve data organization.

• Modernised React pages to improve user experience, boosting website conversions by 15%.
• Built Adobe Analytics dashboards, showcasing a 20% performance improvement.
• Collaborated with the API team to streamline connections using caching, reducing web app response time by 25%.

• Designed the complete product catalog through three user studies, adhering to UI principle.
• Enhanced customer engagement by 10% by developing an interactive carousel using Javascript on product pages.
• Developed and maintained unit tests for the product catalog, ensuring robust functionality and quality improvement.

• Introduction to Deep Learning Certification
• Udemy Courses: Python for Machine Learning and Data Science Master Class, Web Development Bootcamp with MERN Stack

Let's connect and collaborate on exciting projects! Feel free to reach out via email or LinkedIn.