Available for Projects
Dileesha
Lakshan
Turning data into decisions and ideas into scalable digital products.
10+
Hands on Projects
3+
Years Experience
5+
Certifications
Turning data into decisions and ideas into scalable digital products.
Hands on Projects
Years Experience
Certifications
About Me
Final year Statistics student at the University of Kelaniya (GPA 3.7) with hands-on experience in data analytics, machine learning, and AI-driven business solutions. I help businesses make smarter decisions through clean analysis and smart automation.
Certified by IBM, Harvard, and University of Moratuwa. Former QA Technician specialising in AI training workflows — I understand data quality from the ground up.
Python, R, SQL — turning raw data into clear decisions.
Model building, deployment, and AI workflow automation.
Power BI reports that put the right number in front of the right person.
Data-backed content strategy for YouTube and Instagram creators.
Education
Building strong foundations in statistics, data science, and artificial intelligence.
Final Year Undergraduate specializing in Statistics with a current GPA of 3.7. Focused on Data Science, Machine Learning, Statistical Modeling, Business Analytics, and Research Methodology.
Statistical Analysis, Predictive Modeling, Machine Learning, Data Visualization, Research Design, AI Applications, Business Intelligence, and Decision Science.
What I Do
Practical, outcome-focused services for businesses ready to grow with data and technology.
Deep-dive analysis of your business data to uncover trends and opportunities — delivered as interactive dashboards and strategic recommendations that inform real decisions.
Custom AI workflows that eliminate repetitive tasks. From lead scoring to automated reporting pipelines — built lean and built to scale.
Data-backed content planning for YouTube and Instagram. Audience analysis, content calendars, and growth optimisation for creators and brands in tech and business.
From concept to validated MVP blueprint. I help founders refine product thinking and design the minimum viable product before committing to a full build.
Selected Work
Real work across analytics, machine learning, and systems design.
Built a football match outcome predictor using ML — feature engineering, model selection, and hyperparameter tuning achieving ~75–80% accuracy. Includes a front-end interface for user interaction.
Java-based OOP system managing inventory, orders, and supplier data in real time. Reduced manual inventory handling effort by ~30% in simulated workflows.
Statistical research study on the impact of AI tools usage among university students, conducted via survey methodology and quantitative analysis at University of Kelaniya.
Real-time Power BI dashboard consolidating sales, inventory, and customer data into a single pane of glass for daily SME decision-making.
Conducted a statistical analysis of football match data to examine how the timing of goals influences match outcomes. Applied exploratory data analysis, hypothesis testing, and predictive modeling to identify key scoring patterns and their impact on winning probabilities.
Technical Stack
The tools and disciplines I work with across data, AI, visualisation, and strategy.
Get In Touch
Whether you need analytical firepower, an AI solution for your business, or strategic content guidance — reach out and let's talk about what you're building.