Mohammed Sabith Abul Faiz
Master's Student in Artificial Intelligence
Detail-oriented and motivated professional with Master’s in Artificial Intelligence and focus on data visualization, analytics, and business intelligence. Experienced in building full-stack data pipelines, designing intuitive dashboards, and creating scalable BI solutions. Adept at transforming large and complex datasets into actionable insights using Tableau, SQL, Python, and big data technologies. Committed to driving business growth through data-informed decision-making and engaging data storytelling.
Technical Skills
Programming Languages
- Python
- SQL
- JavaScript
- HTML
Tools/Technologies
- Excel, PyCharm, GitHub
- Tableau, PowerBI
- Machine Learning, Deep Learning
- Gen AI, LLMs
Analytical
- ETL, EDA
- Data Visualization
- Data Analysis
- Probability, Statistics
Libraries/Frameworks
- Flask
- Numpy, Pandas, Matplotlib
- Keras, TensorFlow, Scikit-learn
- Apache PySpark, Hadoop
Databases
- MySQL
- MongoDB
- MS SQL Server
Cloud Technologies
- AWS (EC2, S3, SageMaker)
- GCP (Vertex AI, BigQuery)
Certifications
- GCP Associate Cloud Engineer
- Professional Cloud Database Engineer Certification
Professional Experience
Graduate Teaching Assistant
University of North Texas, Denton, TXOct 2024 – May 2025
- Facilitated lab sessions and mentored students on complex AI/ML concepts, neural networks, and programming assignments.
- Supported grading, technical queries, and review sessions, improving learning outcomes and course efficiency.
- Leveraged skills in software engineering, EDA, and AI to enhance students' understanding and project success.
Graduate Student Assistant
University of North Texas, Denton, TXOct 2024 – Jan 2025
- Guided students through SQL, MySQL, and Python-based database design, data modeling, and query optimization.
- Created and led hands-on labs, boosting comprehension of DBMS principles in real-world applications.
- Helped debug code and deliver statistical insights, improving academic performance and technical skills.
Fullstack Developer
Edpace TechnologiesNov 2022 - Apr 2023
- Developed responsive web applications using Angular, HTML, CSS, and JavaScript, improving cross-browser compatibility and load times.
- Tackled inconsistent UI rendering across devices by implementing Bootstrap components and custom CSS fixes.
- Integrated Microsoft SQL Server to support dynamic content and data-driven functionality for user-facing modules.
- Streamlined frontend codebase for maintainability and performance, leveraging reusable components and testing best practices.
Projects
Sentiment Analysis of News Headlines
- Developed a resource-efficient sentiment classifier by fine-tuning LLaMA-2-7B using QLoRA on news headlines, achieving 82.7% accuracy.
- Built a complete NLP pipeline using PyTorch, Hugging Face, and PEFT for multi-class sentiment classification.
- Applied 4-bit quantization, LoRA, and gradient accumulation to enable training.
Fake News Classification
- Built a fake news classifier using TF-IDF, Word2Vec, and text features like sentiment, punctuation, and readability.
- Achieved 97.08% accuracy with CNN and 96.83% with ANN using TF-IDF weighted Word2Vec vectors.
- Evaluated multiple models including logistic regression, LDA, ANN, and CNN to compare performance.
Education
Master of Science, Artificial Intelligence
August 2023 - May 2025University of North Texas, TX, USA
Bachelor of Technology in Electronics and Communication Engineering
Aug 2018 – Aug 2022Keshav Memorial Institute of Technology, Hyderabad, India