BSc (Hons) Data Science Undergraduate
Building intelligent solutions with data, AI and technology. Passionate about transforming data into meaningful insights and building intelligent systems using machine learning, artificial intelligence and modern technologies.
Motivated and detail-oriented Data Science undergraduate with hands-on experience across hardware-software integration, machine learning pipelines, MLOps, and cloud-based application development.
Strong foundation in Python, data analysis, and full-stack development, combined with teamwork, communication, and project management skills built through academic and industry projects.
Grouped by where they sit in the pipeline — from raw code to shipped product.
Five builds spanning hardware, MLOps, deep learning research, and mobile AI.
End-to-end MLOps pipeline for telecom churn — data versioning, experiment tracking, orchestration, and automated deployment.
Cloud-based platform with AI-assisted crop disease detection, real-time monitoring, and smart irrigation recommendations.
A physical RFID device for tap-to-log attendance, syncing live to Google Sheets with a secure admin login for lecturers.
Research project detecting inauthentic likes, comments, and followers across five major social platforms.
Research proposal for a privacy-preserving mobile assistant fine-tuning Mistral 7B with QLoRA and RAG for financial Q&A.
Three roles, each feeding into the next — from customer data to technical drafting.
Created detailed technical drawings for construction and engineering projects, developing CAD, blueprint-reading, and documentation skills.
Drafted technical drawings for the new Secretariat office using AutoCAD, collaborating with senior draughtsmen and conducting site visits.
Handled inbound and outbound customer service calls and maintained large volumes of customer and business data with a focus on accuracy.
Leadership & extracurricular
Open to internships and collaborations in data science, ML engineering, and applied AI.