Hashan Dananjaya

Experience

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  MAS Holdings

  Oct 2018 - Jan 2019

  Planning Intern

  • Developed and modify VBA code for Microsoft Products. I. Yarn similarity report II. Knitting ahead/behind (TR/WEFT) report III. Capacity allocating tool• Developed a defect prediction model (Style wise).• Data analysis

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  VizuaMatix

  Jan 2019 - Jul 2019

  Data Science Intern (Big data)

  • Research & developed machine learning models to predict Non -Performing customers. • Research & developed deep learning networks (Tensorflow) • Research & developed regression models (Keras) • Research & developed Route Optimization Problem (Python) • Experience in data processing using Apache Scala (Spark) • Experience in databases (MySQL, Apache Druid ) • Visualizing monetizing data using innovative proven Open Source Software (Metatron Discovery)

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  University of Peradeniya, Sri Lanka.

  Dec 2019 - Jul 2022

  Research Assistant

  Working as a Research Assistant in the project "Intelligent Transportation through the Integration of IoT" by AHEAD Innovation Commercialization Enhancement (ICE) grants. I have contributed to the project as follow• Technology stack: Python, Java, BigQuery, Google Cloud IoT, Arduino, Raspberry Pi technologies, Keras, Tensorflow• AHEAD Innovation Commercialization Enhancement (ICE) grants-“Tampering and Sound Based IoT Framework for Real-Time Thermo-Mechanically Treated (TMT) Steel Cargo Theft Detection”In this study, machine learning techniques and low powered IoT devices were used to identify real-time theft detection. A smart seal was developed to identify theft and audio detection system to identify theft of steel. In both cases, devices communicate with centralized Wi-Fi and in any case of theft, proposed system will identify theft attempts and notify in real-time.• Smart Seal - Developed a smart seal using ESP8266 for steel-based cargo protection. This device is almost ready to commercialize.• Audio Detection System - The audio detection system detects the cargo-theft with the help of Raspberry Pi and Convolution neural networks (CNN-Transfer Learning). Show less

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  CBase Labs

  Feb 2022 - Jul 2022

  Director - Operations, AI/ML
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  Oak Ridge National Laboratory

  Aug 2022 - now

  Research Assistant

  Advanced Computing for Health Sciences Section - Computational Sciences and Engineering Division