A recent graduate in Statistics and Operations Research with a concentration in Computer Science from the University of Peradeniya, equipped with a strong foundation in data analysis, statistical modeling, machine learning, and optimization techniques. Experienced in working with real-world data through academic and internship projects, with a keen interest in building scalable and efficient data systems. Currently seeking a data engineering role where I can apply my analytical mindset and technical skills to develop robust data pipelines, support data-driven decision-making, and grow within a dynamic and innovative environment.
Projects: AI enables MuniBot, Proof of Concept (PoC) on document extraction(Medical Bot)
- involved analyzing customer data to identify key factors influencing purchasing decisions and creating an accurate prediction model, achieving 85% accuracy.
- Skills: Logistic regression, Data analysis, Statistical Modeling, Python, Data preprocessing, Feature Selection.
- Developed and implemented a simulated annealing algorithm to optimize mathematical function parameters. Tested the algorithm on various unimodal and multimodal benchmark functions to evaluate its performance and effectiveness.
- Skills: Python, Optimization
- During a field visit to Brandix Fast Fashion, our team was tasked with optimizing the fabric shrinkage process using advanced image processing techniques to enhance accuracy and efficiency
- Skills: Python, Image Processing, R
- Air Quality Prediction Using Factor Analysis Techniques
- Diabetes Prediction Using Canonical Correlation Analysis
- Skills: Technology used - Data Preprocessing | Data Visualization |Principal Components Analysis | MANOVA Tests | Cluster Analysis | Factor Analysis | Canonical Correlation Analysis | R Packages (tidyverse, CCA, CCP)
- Analyzed and discovered the trends in air quality across London city based on data collected at 36 air monitoring sites located in London from 01/01/2022 to 31/12/2022
- Skills: R Packages tidyverse, LATEX, Statistical Data Analysis