Machine learning
- scikit-learn
- Linear regression
- Model evaluation
Colombo, Sri Lanka · SLIIT undergraduate
ShironDimath.
Aspiring AI Engineer
Exploring data science, software, and digital marketing to build data-driven solutions.
DATA. INTELLIGENCE. IMPACT.
01 / About me
Learning with purpose.
Building with curiosity.
EDUCATION · 2026 — PRESENT
SLIIT
BSc (Hons) in Information Technology
Specializing in Artificial Intelligence
I’m Shiron Dimath, an aspiring AI engineer based in Colombo. I’m studying Information Technology at SLIIT, with a specialization in Artificial Intelligence.
I’m interested in data science and digital marketing, and how they can work together to solve practical problems. My projects are a way to learn, experiment, and turn that curiosity into something useful.
Through coursework and independent exploration, I’m developing my skills in software, data analysis, and machine learning.
AI & data scienceHands-on learningDigital marketing
02 / Skills & interests
A growing toolkit.
A practical mindset.
Tools explored through project work, alongside the fields I’m learning about.
Data analysis
- Python
- Pandas
- Matplotlib
Project stack
- Java / OOP
- JSP / Servlets
- MySQL / JDBC
Development
- GitHub collaboration
- Maven / Tomcat
- HTML / CSS / JS
Interests
- Artificial intelligence
- Data science
- Digital marketing
Learning through practice · Project-stack technologies reflect the tools used in the Medicare group project.
03 / Selected work
Learning by building.
Coursework, experiments, and team projects across software, data, and connected systems.
Medicare
A medical appointment and clinic-management web application developed as an OOP group project. The system covers patient booking, doctor schedules, records, and billing.
SE1020 coursework · Group project; features describe the shared application.
Java · JSP / Servlets · MySQL · Maven
Spotify Stream Prediction
Explored Spotify 2023 data with Python and fitted a linear regression model to estimate streams from audio features. A key lesson: audio attributes alone don’t explain popularity.
Shared on LinkedIn · Exploratory learning project.
Python · Pandas · Matplotlib · scikit-learn
POWERMONITORX
A team-built smart energy prototype for tracking electricity use and managing power consumption. A hands-on exploration of connected hardware and software.
Team project · WD24 · Prototype shared on LinkedIn.
IoT · Energy monitoring · Team collaboration
04 / The journal
Ideas, experiments
& things I’m learning.
Building Medicare: Our Journey Developing a Java-Based Medical Appointment System
Building a software application becomes much more interesting when its individual features need to work together. A patient books an appointment. A receptionist checks them in. A…
Read article04 / What’s next?
Let’s build
something intelligent.
Have an interesting problem or an idea to explore? Let’s start a conversation.