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I am a data professional with a strong background in data science, analytics, and statistics. I excel at data manipulation, statistical analysis, predictive modeling, and deep learning using Python and R. I have hands-on experience across manufacturing, IT, social media, and retail in Singapore and Sri Lanka, and I am eager to apply data skills to real-world challenges and innovative projects. My strength lies in analytical thinking and organization, demonstrated through complex data projects for organisations in New Zealand and internationally, including work with Meta via TDCX, product feasibility for NavtronicX ANZ, and solar-terrestrial research using NASA ICME datasets.…I am a data professional with a strong background in data science, analytics, and statistics. I excel at data manipulation, statistical analysis, predictive modeling, and deep learning using Python and R. I have hands-on experience across manufacturing, IT, social media, and retail in Singapore and Sri Lanka, and I am eager to apply data skills to real-world challenges and innovative projects. My strength lies in analytical thinking and organization, demonstrated through complex data projects for organisations in New Zealand and internationally, including work with Meta via TDCX, product feasibility for NavtronicX ANZ, and solar-terrestrial research using NASA ICME datasets.

Uditha Mayadunna

Data Scientist, Data Analyst, AI Engineer, +2

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I am a data professional with a strong background in data science, analytics, and statistics. I excel at data manipulation, statistical analysis, predictive modeling, and deep learning using Python and R. I have hands-on experience across manufacturing, IT, social media, and retail in Singapore and Sri Lanka, and I am eager to apply data skills to real-world challenges and innovative projects. My strength lies in analytical thinking and organization, demonstrated through complex data projects for organisations in New Zealand and internationally, including work with Meta via TDCX, product feasibility for NavtronicX ANZ, and solar-terrestrial research using NASA ICME datasets.…I am a data professional with a strong background in data science, analytics, and statistics. I excel at data manipulation, statistical analysis, predictive modeling, and deep learning using Python and R. I have hands-on experience across manufacturing, IT, social media, and retail in Singapore and Sri Lanka, and I am eager to apply data skills to real-world challenges and innovative projects. My strength lies in analytical thinking and organization, demonstrated through complex data projects for organisations in New Zealand and internationally, including work with Meta via TDCX, product feasibility for NavtronicX ANZ, and solar-terrestrial research using NASA ICME datasets.

Available to hire

I am a data professional with a strong background in data science, analytics, and statistics. I excel at data manipulation, statistical analysis, predictive modeling, and deep learning using Python and R.
I have hands-on experience across manufacturing, IT, social media, and retail in Singapore and Sri Lanka, and I am eager to apply data skills to real-world challenges and innovative projects. My strength lies in analytical thinking and organization, demonstrated through complex data projects for organisations in New Zealand and internationally, including work with Meta via TDCX, product feasibility for NavtronicX ANZ, and solar-terrestrial research using NASA ICME datasets.

Skills

Experience Level

Expert

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Intermediate

Language

English

Fluent

Work Experience

Product Feasibility / Data Analyst at NavtronicX ANZ

June 1, 2025 - Present

Evaluate market suitability of new products during early development stages. Help refine data monitoring and execution systems by resolving technical issues. Contributing to the development of an in-house Large Language Model (LLM) aimed at predicting environmental parameters and behaviours to strengthen AI capability.

Data Analyst (Remote) at Eco Astronomy Inc

January 1, 2025 - Present

Analysing NASA's Near-Earth ICME dataset to study how solar activity affects Earth’s magnetic field. Using Python and SQL to clean and prepare time-series data for trend and event analysis. Building an interactive Power BI dashboard to visualize key patterns and writing a journal article on the findings and their impact.

Intern at Talent Solutions, New Zealand

July 1, 2024 - July 31, 2024

Performed data analysis to uncover gaps and opportunities in employment pathways for tertiary education graduates. Utilized Python for data gathering, cleaning, and preprocessing from various sources to ensure data quality and reliability. Designed and maintained structured databases to monitor employment trends and outcomes effectively. Created dynamic visualizations and dashboards in Power BI to present findings, enabling stakeholders to make data-driven decisions.

Operations Specialist – Community Data at TDCX (Meta)

November 1, 2018 - December 31, 2022

Analysed community operations data to identify trends, patterns, and actionable insights, enhancing community engagement across a platform with over 7.5 million active users. Designed and deployed a Tableau dashboard to monitor key operational metrics and trends, delivering real-time insights and tailored recommendations that contributed to the revision and implementation of 20 community policies to strengthen platform safety. Achieved and maintained a 98% accuracy rate in content evaluation and reporting, ensuring consistency and reliability throughout the 4-year tenure.

Technical Specialist at Hewlett-Packard Inc Singapore

July 1, 2015 - July 31, 2017

Performed 200+ scheduled and unscheduled maintenance tasks on semiconductor wafer fabrication equipment in a Class 10 cleanroom environment, achieving 95% equipment uptime and ensuring uninterrupted production. Conducted 50+ troubleshooting and parts replacement operations, dismantling, adjusting, repairing, and reassembling advanced semiconductor equipment based on technical blueprints and manuals. Implemented 3 Kaizen projects within the fabrication process, increasing productivity by 10%, enhancing cleanroom safety standards, and reducing operational costs by 5% through Smart Manufacturing methodologies.

Team Member at Starbucks

September 1, 2025 - Present

Team Member at Nando's

October 1, 2023 - August 31, 2025

Copy Centre Specialist at The Warehouse (Northlands)

October 1, 2024 - December 31, 2024