ππΌ Hello there, Iβm Novella!
π©π»βπ» Iβm a graduate student at the University of Utah.
π¬ Iβm currently part of LL4MA, instructed by Prof. Tucker Hermans.
π Interest
- Machine Learning
- Artificial Intelligence
- Natural Language Processing
- Data Mining
- Database
π Education
Master of Science in Computing, Data Management and Analytics Aug 2024 β present
University of Utah Salt Lake City, UT
Bachelor of Science, Data Science Jan 2022 β Dec 2023
University of Utah Salt Lake City, UT
Associate Degree of Science, Computer Science and Mathematics Sep 2019 β Jun 2021
University of Durham Durham, UK
πΌ Experience
Research Assistant for LL4MA lab Aug 2024 - present
University of Utah
- Collaborated on a project to integrate SplaTAM, a dense RGB-D SLAM system, with the STRETCH robot for improved localization and mapping
- Assisted in the development of algorithms for real-time rendering and tracking optimization.
- Collected and processed RGB-D data to enhance the robotβs navigation capabilities in complex environments.
Teaching Assistant for Machine Learning course Aug 2023 β Dec 2023
University of Utah Salt Lake City, UT
- Mentored 60+ students from Bachelor to PhD levels, guiding the implementation of advanced machine learning models for real-world challenges, including TensorFlow, scikit-learn, Keras, PyTorch and XGBoost
- Assessed assignments and developed a comprehensive curriculum, resulting in a 20% increase in student engagement and achievement
Financial Systems Analyst Intern Jun 2021 β Aug 2021
Harapan Bangsa Foundation Tangerang, Indonesia
- Implemented automated tracking for 1000+ employee loans using Python, cutting processing time by 20% and errors by 30%
- Streamlined the salary database, achieving a 30% increase in data accuracy and a 15% reduction in payroll processing time
- Deployed a monthly expense prediction model with a 5% margin of error, enhancing budget management and providing data presentation for decision-making in the finance department
π» Project
Web App Development, Back-end Developer and Database Engineer Jan 2023 β Jan 2024
- Enhanced book recommendation and content genre generator precision by 20% through automated machine learning and improved NLP preprocessing, boosting accuracy by 25%, reducing loading times by 30%, and increasing user engagement by 25%.
- Engineered a robust API using Djangoβs Rest Framework, optimizing communication between frontend and backend systems; increased system integration efficiency by 30% and reduced latency by 50 milliseconds.
Tech: Python, Django, SQL, Docker, Git, Github, Gitlab, AWS, PostgreSQL, Postman, tensorFlow, nltk
AI Pacman Agent Game, Developer Aug 2023 β Dec 2023
- Developed and implemented an AI for a Pac-Man game using Python and Tkinter, integrating reinforcement learning (Q-learning) and advanced pathfinding algorithms (A* and BFS) to optimize gameplay, resulting in a 90% win rate over conventional systems.
- Conducted a comprehensive analysis of AI behavior under various game scenarios to fine-tune parameters and improve the decision matrix using MinMax, ExpectiMax, and Alpha-Beta Pruning methods, leading to a a 30% improvement in ghost evasion tactics and significantly increased game longevity and scoring through detailed behavioral analysis and parameter optimization.
Tech: Python, Tkinter
D3 Data Visualization, Developer Aug 2023 β Jan 2024
- Optimized Python-based data pipeline with NLP preprocessing, increasing efficiency by 50%. Implemented diverging bar charts for sentiment analysis on artistsβ songs over multiple years to perform exploratory data analysis
- Constructed a spider chart for various song attributes, to analyze of song characteristics leading to 30% increase in decision clarity
Tech: Python, d3, Javascript, html, css, pandas, numpy, sci-kit learn, nltk, Github
Web Server Learning Management System(LMS), Database Engineer Jan 2023 β May 2023
- Developed a resilient web server database for LMS resulting in a 30% reduction in administrative time. Wrote complex SQL queries and employed LINQ API library in C# for data processing and increased operational efficiency
Tech: SQL, MySQL, C#, .NET Core
Machine Learning Libraries, Developer Aug 2022 β Dec 2022
- Constructed a comprehensive supervised ML training program from scratch, including decision trees, ensemble learning models, linear regression, artificial neural networks (ANN), support vector machines (SVM), and perceptron
- Achieved a 30% enhancement in output prediction accuracy across diverse data models and algorithms
Tech: Python, pandas, numpy, matplotlib, seaborn
π οΈ Skill
β
Machine Learning β
Artificial Intelligence β
Database Systems β
Data Mining β
Statistical Analysis R ProgrammingCourses
Other Skills
β R
β Google Colab
β Java
β C
β Microsoft Office Suite