Hello, I'm Supun Bandara

Turning data into

Data Analyst with a BSc in Statistics & Computer Science, building statistical models, ML forecasts, and dashboards that guide decisions.

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Portrait of Supun Bandara

Technical expertise

From raw tables to forecasts a business can act on: the stack I use day to day.

  • Data Science

    Cleaning, processing, and analyzing large datasets to extract meaningful insights.

    PythonRSQL

  • Visualization

    Building interactive dashboards to monitor KPIs and performance metrics.

    Power BIPlotlyStreamlit

  • Machine Learning

    Developing statistical models for forecasting and predictive analysis.

    Scikit LearnXGBoostStats

Work experience

  1. Jan 2026 - PresentColombo 14

    Customer Insights Analyst

    Diesel & Motor Engineering PLC (DIMO)

    • Analyzing customer data and market insights to drive business growth and informed decision-making.
  2. May 2025 - Dec 2025Colombo 14

    Intern Data Analyst

    Diesel & Motor Engineering PLC (DIMO)

    • Collaborated with Customer Experience team to analyze complaints and improve service quality.
    • Developed interactive Power BI dashboards to monitor daily complaints and KPIs.
    • Built statistical models (Python) to analyze CSI scores and evaluate service advisor and branch effectiveness.
    • Applied time series analysis and machine learning to forecast future complaints.

Education

University of Kelaniya logo

University of Kelaniya

BSc in Statistics & Computer Science

2022 - 2025

Major
Statistics
GPA
3.3
Kegalu Vidyalaya crest

Kegalu Vidyalaya

Secondary Education

Advanced Level

Physical Science Stream

2020

Ordinary Level

2017

Certifications

Short courses I completed alongside my degree.

  • Data Science with Python

    University of Colombo School of Computing (UCSC)

    2025

  • Python Libraries for Data Science

    Simplilearn

    2025

  • NLP in Python

    Udemy

    2025

Featured projects

Research Project

Homicide Rate Analysis

Analyzed socio-economic factors influencing homicide rates in Sri Lanka (1994-2023). Used OLS, Elastic Net, and XGBoost models.

MLPythonXGBoost

Statistical Modeling

Fuel Consumption Analysis

Used R regression models to analyze factors impacting automotive fuel usage. Identified critical variables to improve fuel efficiency.

R LanguageRegressionEDA

Business Intelligence

CSI Score Forecasting

Forecasting future customer complaints and analyzing Customer Satisfaction Index (CSI) scores to enhance decision-making.

Power BITime SeriesStreamlit

Let's work together

Open to data analytics, machine learning, and full-stack opportunities. Drop me a message and I'll get back to you within 24 hours.