Nethum D.
Junior Machine Learning Engineer
Actively lookingNew to PlatformAbout
Nethum D. is a proficient Machine Learning Engineer and Data Scientist with 14 months of industry experience at John Keells Group, the largest conglomerate in Sri Lanka. He is specialized in designing scalable data pipelines, deploying production-grade machine learning models, and utilizing advanced AI techniques such as Computer Vision, Genetic Algorithms, and Quantum ML. During his tenure at Octave, Nethum built efficient data pipelines using Kedro and Azure Data Lake, achieving over 25% performance improvement by migrating workflows to Microsoft Fabric. He also developed machine learning solutions that optimally handle vast sales data and improved data modeling efficiencies by 80%. As an AI & Data Analyst Intern, he showcased his ability to predict helpdesk ticket volumes with high accuracy and identify security anomalies using Azure's suite. He is skilled in platforms and languages including Python, SQL, and Microsoft Azure applications, holding a BSc (Hons) in Artificial Intelligence & Data Science from the Informatics Institute of Technology affiliated with Robert Gordon University.
Experience
Data Science & Engineering Intern
Octave (John Keells Group) · 2025 — 2025Built data pipelines utilizing Kedro and Azure Data Lake, and transitioned over 10 workflows from Databricks to Microsoft Fabric for enhanced system performance. Developed a regression-based machine learning pipeline in Fabric for the JMSL unit, which processed thousands of historical sales records to devise optimal pricing strategies. Resolved issues in the secondary sales data model for the CCS unit using PySpark to align with business requirements, significantly boosting data loading efficiency. Established Microsoft Fabric environments integrated with VNET and automated workflows for cloud cost reduction, collaborating with engineering teams for reliable, production-ready deployments.AI & Data analyst Intern
John Keells Information Technology (John Keells Group) · 2024 — 2024Utilized an ARIMA AI model to forecast the next 15 days of helpdesk ticket volume, achieving an accuracy of 87%, which aided in resource planning for employee schedules. Employed Azure ML Studio and Microsoft Sentinel to uncover over 15 critical anomalies, identifying potential security threats. Executed the migration of 7 TB of data from AWS to Azure via pipelines to ensure accurate data transfer. Created dashboards in Power BI to visualize data and facilitate informed business decision-making.
Skills & Expertise
Education
- Bachelor of Science (Hons) in Artificial Intelligence & Data ScienceInformatics Institute of Technology(IIT) affiliated with Robert Gordon University · 2022 — 2026