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Data Science with 1+ years in Machine Learning, Deep Learning, and Enterprise Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and Data Science graduate awaiting degree conferment with experience in machine learning, deep learning, machine vision, data analysis, and enterprise systems. Contributed to the development of OsteoSense, an IEEE-published AI research for knee osteoarthritis detection and treatment recommendation. Experienced in Oracle ERP implementation projects, data management, system testing, and stakeholder collaboration. Skilled in Python, SQL, machine learning, and data-driven problem solving, with a strong interest in developing intelligent solutions that create real-world impact.
Informatics Institute of Technology (IIT) affiliated with RGU, UK
Bachelor of Science with Honors in Artificial Intelligence and Data Science · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Rahula College, Matara
G. C. E. A/Ls · Physical Stream
June 1, 2008 – May 31, 2021
Rahula College, Matara
G. C. E. O/Ls
June 1, 2008 – May 31, 2021
Star Garments (Pvt) Ltd
ERP Intern / Master Data Management (MDM) Agent
January 1, 2024 – August 1, 2025
India
OsteoSense - Knee Osteoarthritis Detection & Treatment Recommendation System
June 24, 2026 – Present
Research Published
Individual Research Project - A Hybrid ViT & ML Framework for Feline Skin Disease Classification
June 24, 2026 – Present
Paper Under Review
Survey on Hybrid ViT Approaches for Human Dermatological Disease Detection
June 24, 2026 – Present
Paper Under Review
Knee Osteoarthritis Detection Using Machine Learning on Pre-Processed X-ray Images and Treatment Recommendation
2024 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's involvement in multiple academic research projects, including published and under-review papers, indicates a strong drive for innovation and continuous learning, which aligns well with a research-heavy or evolving technical environment. Their participation in an ERP implementation project shows adaptability to different technical domains and a willingness to contribute to large-scale organizational initiatives. The breadth of skills listed (Python, Java, SQL, ML, DL, CV, Data Engineering) suggests a versatile individual. However, the experience is predominantly academic and entry-level, which might require mentorship in a fast-paced industry setting. The target role is Data Science, and the projects are highly relevant, indicating a good foundational cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and communication skills, as evidenced by their involvement in research publications and ERP implementation. Their experience in UAT and collaboration with various stakeholders suggests an ability to work effectively in a team and manage project-related tasks. The academic projects and publications highlight a proactive and research-oriented approach, which is beneficial for a Data Science role. However, the operational fit is primarily based on academic and internship experience, lacking extensive real-world project deployment or leadership roles typical of a senior-level candidate.