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Dinithi Gunarathna

@dinithigunarathna

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Statistics graduate transforming data into insights with Python, R, and statistical modeling.

Zimbabwe

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What I'm looking for

I’m looking for an entry-level analytics role where I can apply statistical modeling and machine learning with Python/R to turn data into decisions, grow through mentoring, and contribute through clear communication of analytical findings.

I am a detail-oriented and motivated Statistics graduate (B.Sc. (Hons) in Statistics) with a strong foundation in data analysis, statistical modeling, and quantitative problem-solving. I use SPSS, Minitab, R, and Python to analyze data, extract insights, and support data-driven decision-making.

My undergraduate research focused on “A Novel Weighted Adaptive Composite Normality Test (WACN)” for balanced performance across diverse distributions in small sample sizes, leveraging multiple established normality tests to address cases where the underlying distribution is unknown. I also built machine learning projects including a fraud detection model (~72% accuracy) and an ECG-based arrhythmia classification system (~98% accuracy using Random Forest), and I communicate findings clearly with a strong commitment to continuous learning.

Experience

Work history, roles, and key accomplishments

Undergraduate Researcher

University of Colombo

Jan 2022 - Jan 2026 (4 years)

Developed a novel Weighted Adaptive Composite Normality (WACN) test to balance performance of normality testing across diverse distributions, especially in small-sample settings, by combining multiple established normality tests.

Normality Testing Statistical Modeling Composite Hypothesis Testing Small Sample Statistics Research Methodology R Python SPSS Minitab

Education

Degrees, certifications, and relevant coursework

University of Colombo

B.Sc. (Hons), Statistics

2022 - 2026

Grade: 3.72/4.00

Activities and societies: Undergraduate research: Novel Weighted Adaptive Composite Normality Test (WACN) for balanced performance across diverse distributions in small sample sizes.

Pursuing a B.Sc. (Hons) in Statistics at the University of Colombo (2022–2026), with GPA 3.72/4.00. Conducted undergraduate research developing a Novel Weighted Adaptive Composite Normality Test (WACN) to achieve balanced normality test performance across diverse distributions in small sample sizes.