Open to opportunities

kaweesha sandaruwan

@kaweeshasandaruwan

Message

I build predictive models and statistical analyses for evidence-based decisions.

Sri Lanka

Message

What I'm looking for

I'm looking to apply data science, predictive modeling, and statistical analysis to sports analytics, economic analysis, and evidence-based decision-making.

I'm completing a BSc (Hons) in Statistics at the University of Peradeniya, applying Python, R, SQL, and machine learning to predictive modeling, economic analysis, and simulation.

I'm developing a Test Cricket umpire decision-risk profiling framework using DRS data, and I analyzed World Bank indicators across 40+ countries. I also built a supermarket checkout simulation that projected a 20% reduction in average queue time.

Experience

Work history, roles, and key accomplishments

Executive Committee Member

Statistical Circle, University of Peradeniya

Jan 2024 - Dec 2025 (1 year 11 months)

Delivered 5+ workshops and networking events for 200+ participants, coordinating schedules, logistics, communications, and cross-functional committee support.

Leadership Teamwork Time Management Event Coordination

AIESEC Member & OCVP

AIESEC, University of Peradeniya

Jan 2022 - Dec 2023 (1 year 11 months)

Delivered Networking Bonjour 5.0 and supported 12 international candidate matches by coordinating OCVP networking, Incoming Global Talent matching, and international relations activities.

Teamwork Time Management Networking International Relations Event Coordination

Deputy Head Prefect

Delta Gemunupura College

Jan 2018 - Dec 2019 (1 year 11 months)

Exercised leadership for 1,200 students and delivered 8+ school-wide events by coordinating prefect teams, supporting student discipline, managing staff communications, and organizing event logistics.

Leadership Event Coordination Team Management

Education

Degrees, certifications, and relevant coursework

University of Peradeniya

Bachelor of Science (Honours), Statistics

2022 -

Grade: 3.5/4.0

Pursuing a BSc (Hons) in Statistics with a 3.5/4.0 GPA, completing advanced coursework in statistics, mathematics, computer science, and a one-year chemistry foundation.