RIETA TREESSA MATHEW

A highly motivated and dedicated MSc. Data Science graduate with a strong background in BSc. Information Systems and Management. Driven by a passion for data-driven problem solving, continuously focusing on growth and contribution in dynamic environments. Equipped with a solid academic background, eager to apply skills to tackle complex challenges and make meaningful contributions. Ready to thrive in a Data Scientist role, collaborating, innovating, and further developing skills while delivering impactful solutions.

Analysis of EV Charging Stations’ Impact on Carbon Intensity in the UK

Group Project | Explored the correlation between the expansion of EV charging stations and carbon intensity reduction in the UK using machine learning models like XGBoost and SARIMAX. Analyzed data on energy sources and charging infrastructure to provide insights into the environmental impact of EV adoption on national carbon intensity trends.

Legal Document Analysis Using LLaMA 3.1
MSc Dissertation Project | Developed a legal document analysis system using the LLaMA 3.1 model, fine-tuned on the Open Australian Legal Corpus. Enhanced retrieval, summarization, and legal query handling, using techniques like Low-Rank Adaptation (LoRA) for efficiency. This project demonstrates LLMs’ potential in accurately processing complex legal texts, paving the way for more efficient legal research.

• Fundamentals of Deep Learning | nVidia
• Database Management Essentials | University of Colorado (Coursera)
• Technical Writing | Moscow Institute of Physics and Technology (Coursera)
• CCNAv7: Introduction to Networks | Cisco Networking Academy
• CIW: E-commerce Specialist, 1DO-525 | uCertify

• Best Paper Award, 8th International Student Research Colloquium on Advances in Engineering & Information Technology, 2023
• Academic Excellence Award, Manipal University

• Holds valid UAE driving license
• Visa under Parent Sponsorship