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AI Engineer with less than a year in Machine Learning & Data Processing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a Computing undergraduate with a strong interest in Machine Learning, AI, and data-driven problem solving. Experienced in building ML-based projects using Python and modern ML libraries with research exposure in predictive modeling. Seeking opportunities to apply machine learning, data processing, and analytical skills to solve real-world problems while gaining hands-on industry experience.
G.C.E.
A/L Examination · Physical Science Stream
June 1, 2019 – May 31, 2019
G.C.E.
O/L Examination · English Medium
June 1, 2016 – May 31, 2016
Sabaragamuwa University of Sri Lanka
BSc. (Hons) · Computing & Information Systems
N/A – June 30, 2026
Sales Analytics Dashboard
June 1, 2026 – June 1, 2026
Used technologies: Python, Streamlit, Pandas, Plotly, NumPy. Developed an interactive sales analytics dashboard to visualize and analyze sales data, enabling users to explore trends, performance metrics, and key insights through dynamic charts and filters.
View ProjectMilk Quality Prediction
June 1, 2026 – Present
Used Technologies: Python, Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Matplotlib, Seaborn. Designed a ML solution to predict milk quality based on physicochemical properties. Conducted data cleaning, model training, and performance evaluation, and identified key features influencing milk quality through model analysis.
View ProjectPython for Beginners
CODL University of Moratuwa
June 1, 2026 – Present
Introduction to Cybersecurity
Cisco Networking Academy
June 1, 2026 – Present
ComURS Abstract Publication Certificate
ComURS
June 1, 2026 – Present
A Machine Learning-Based Approach for Predicting Milk Quality in Sri Lanka
Computing Undergraduate Research Symposium (ComURS)
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying AI/ML to real-world problems (milk quality prediction, sales analytics). Participation in extra-curricular activities like IEEE volunteering and membership in the Society of Computer Science indicates a proactive and engaged attitude within the computing community. The publication further shows a commitment to research and knowledge sharing. These aspects suggest a good cultural fit for an organization that values innovation, continuous learning, and community involvement. However, the candidate is still an undergraduate, and their exposure to diverse team dynamics and corporate culture is limited.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as communication, teamwork, flexibility, creativity, and leadership. These are valuable for operational fit, especially in collaborative AI development environments. The project descriptions indicate an ability to work on individual projects, suggesting self-motivation and problem-solving capabilities. However, without direct work experience, the practical application and depth of these soft skills in a professional setting are yet to be validated.