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Malindu OmanthaMO
Open to opportunities

Malindu Omantha

@malinduomantha

Aspiring data scientist with expertise in machine learning and analytics.

Sri Lanka
Message

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

SE

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.

Education

Degrees, certifications, and relevant coursework

University of Plymouth logoUP

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.

Tech stack

Software and tools used professionally

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