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Malindu Omantha

@malinduomantha

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Aspiring data scientist with expertise in machine learning and analytics.

Sri Lanka

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What I'm looking for

I am looking for a role that fosters innovation and offers opportunities for growth in data science.

I am currently pursuing a BSc (Honors) in Data Science at the University of Plymouth, where I am honing my skills in data analytics and machine learning. My passion for technology and data-driven decision-making has led me to work on several impactful projects, including a machine learning-powered price prediction system for Sri Lanka's rice economy. This project involved building a cloud-based solution using Python, Apache Spark, and AWS, showcasing my ability to leverage advanced technologies for real-world applications.

In addition to my technical skills, I have developed a strong foundation in natural language processing, having created an NLP pipeline for sentiment analysis of Facebook comments. My projects also include a stroke prediction system that utilizes statistical analysis and machine learning models to assess healthcare risks. I thrive in collaborative environments and am committed to continuous learning and improvement, which I believe are essential in the ever-evolving field of data science.

Experience

Work history, roles, and key accomplishments

Big Data Analytics Project

Self Employed

Developed a cloud-based system using Spark, AWS, and Snowflake to forecast rice prices in Sri Lanka, applying machine learning and time series analysis. Visualized results via a Streamlit dashboard for real-time insights.

Python Apache Spark AWS S3 Snowflake Streamlit Machine Learning Time Series Analysis Cloud Computing Data Visualization

Natural Language Processing Project

Self Employed

Developed an NLP pipeline to classify Facebook comments using Python, incorporating sentiment analysis, topic modeling, and toxic comment detection. Applied BART/T5 summarization, MarianMT translation, and TF-IDF for deeper insights.

Wordcloud Python SpaCy NLTK WordCloud Matplotlib Natural Language Processing Topic modeling Summarization Machine Translation

Statistical Analysis & ML Model

Self Employed

Built a stroke prediction system using logistic regression, including comprehensive data preprocessing steps. Visualized correlations, evaluated model performance, and deployed a web application to estimate stroke risk for healthcare use.

Python PHP SQL XGBoost ARIMA SARIMA Power BI Logistic Regression data preprocessing Machine Learning Web Development Data Visualization

AI-driven Jewelry E-commerce

Self Employed

Built an XGBoost-based gemstone price predictor with separate models for silver and gold, leveraging Snowflake for data storage and Streamlit for real-time forecasting. Integrated feature engineering and a user-friendly interface for monthly and yearly predictions.

Python Snowflake MySQL APIs XGBoost PHP JavaScript Web Development

Student Enrollment Process Mining

Self Employed

Developed a process mining project for student enrollment event logs using R, focusing on process mapping and performance analysis. Utilized EventdataR and dependency matrices to gain insights into student enrollment workflows.

R Process Mapping Performance Analysis Process Mining Data Analysis Research Statistical Analysis

Education

Degrees, certifications, and relevant coursework

University of Plymouth

BSc (Honors) in Data Science, Data Science

Currently pursuing a Bachelor of Science with Honors in Data Science. The program focuses on advanced data analysis, machine learning, and statistical modeling techniques. This ongoing education is building a strong foundation in data-driven decision-making and predictive analytics.