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Data Science with less than a year in Machine Learning & Deep Learning
Aspiring AI/ML Engineer with a strong foundation in machine learning, deep learning, and intelligent system design. Experienced in developing scalable predictive models, analyzing complex datasets, and implementing real-world AI solutions. Demonstrated leadership in technical projects with strong problem-solving and communication skills. Proactive, adaptable, and continuously learning—eager to contribute to innovative AI-driven technologies.
SLIIT (Sri Lanka Institute of Information Technology)
BSc (Hons) in Information Technology Specialising in Data Science · Data Science
August 1, 2023 – June 30, 2027
SLIIT (Sri Lanka Institute of Information Technology)
Higher National Diploma in Information Technology · Information Technology
August 1, 2023 – June 30, 2027
Highlands Central College, Hatton
GCE A/L (Physical Science) · Physical Science
June 1, 2019 – May 31, 2021
ESOFT Metro College - Hatton
Diploma in Information Technology and English (DiTec & DiE) · Information Technology and English
August 1, 2017 – June 30, 2018
Wildlife Animal Species Classifier
June 12, 2026 – Present
Developed a deep learning-based system to classify 90 wildlife animal species from images. Utilized EfficientNetB0 for feature extraction, optionally integrated YOLOv8 for object detection, and OpenCV for image preprocessing. Built a Streamlit app for real-time predictions with top-5 confidence scores and interactive visualization.
View ProjectMail Management Multi-Agent AI System
June 12, 2026 – Present
Developed an AI-powered email management system with multi-agent automation for organization, summarization, replies, and reminders. Integrated Gemini AI for intelligent categorization and context-aware responses, with a secure Streamlit dashboard for interactive email analytics.
View ProjectAI Resume Screening Application
June 12, 2026 – Present
Developed an NLP-based resume classification system using TF-IDF and KNN to predict 25 job roles. Built a Streamlit app for automated resume parsing, skill extraction, and real-time predictions with confidence scores.
View ProjectAir Quality Index (AQI) Prediction System
June 12, 2026 – Present
Developed a machine learning system to predict AQI categories using WAQI data, with preprocessing, model training, and evaluation. Built a Streamlit dashboard for predictions, pollutant analysis, probability visualization, and map-based insights.
View ProjectIBM Data Science Professional Certificate
IBM
June 1, 2026 – Present
Machine Learning Foundation Certificate
Duke University
June 1, 2026 – Present
IBM Applied Data Science Capstone
IBM
June 1, 2026 – Present
Participation in CodeRally 6.0
Unknown
June 1, 2026 – Present
AWS SimuLearn Series (2025) - Cloud Computing Essentials, Amazon S3, EC2, VPCs
AWS
January 1, 2025 – Present
Introduction to Azure Virtual Machines - Microsoft (2025)
Microsoft
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI/ML to diverse real-world problems (wildlife classification, email management, resume screening, air quality prediction). This project diversity, coupled with certifications from IBM, Duke University, AWS, and Microsoft, indicates a proactive learning mindset and a broad technical curiosity. The participation in CodeRally also suggests an engagement with the broader tech community. These aspects align well with a culture that values continuous learning, innovation, and practical application of skills.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving and communication skills, and a proactive, adaptable, and continuously learning attitude. These traits suggest a good operational fit for dynamic project environments and a willingness to grow within a team. However, without direct interview data or peer feedback, these are self-reported and require validation.