Machine Learning Data Analytics

THARINDU ATAPATTU

San Antonio, TX ● +1-469-***-**** ● ****************@*****.***

● https://www.linkedin.com/in/tharindu-atapattu-327805152/ SUMMARY OF QUALIFICATIONS

● Developed Machine Learning and Deep Learning models that can predict disease prediction, disease-severity prediction and person identification.

● Proficient in Data Analytics, Python, Jupyter Notebook, Google Colaboratory, Tensorflow, Keras, Scikit-learn, Matplotlib, Pandas Dataframes and Linux.

● Experienced in teaching and giving presentations, and proficient in verbal and written communication

● Proficient in English(Professional) and Sinhala(Native) EDUCATION

● University of Texas at San Antonio, TX Dec 2023

Master of Science in Computer Engineering

● University of Colombo, Colombo, Sri Lanka Jun 2016 Master of Science in Applied Electronics

● Informatics Academy, Singapore Apr 2011

International Diploma in Electronics and Computer Engineering

● University of Colombo, Sri Lanka Jun 2010

Bachelor of Science in Physical Sciences

RESEARCH EXPERIENCE

● Graduate Research Assistant, The University of Texas at San Antonio, TX Aug 2022 – Aug 2023 1. Perform data analytics and develop machine learning, Natural Language Processing and Artificial Neural Network models for disease prediction and severity of disease prediction from Electronic Health Records

(EHR).

2. Research and analyze correlation between the diseases and demographic information 3. Integrate multiple machine learning models to create a single model to improve accuracy, recall, precision and F1 score.

4. Explore the current research publications and get ideas to design new machine learning pipelines. 5. Give presentations and write reports.

● Graduate Student, The University of Texas at San Antonio, TX Jan 2018 – Jul 2022 1. Studied the impact on the privacy and rights of people under the General Data Protection Regulation

(GDPR) of the European Union when collecting, storing and processing of biometric data for person-identification.

2. Reviewed scholarly articles and algorithms to understand the new trends/technologies in biometric identification.

3. Analyzed data of multiple biometric data sources and developed person identification algorithms using Convolutional Neural Networks (CNN)

4. Analyzed data and designed a new research pipeline to develop a person-recognition system from multiple biometric traits.

● Graduate Student, University of Colombo, Colombo, Sri Lanka Jun 2015 - May 2016 1. Built a GUI to support some of the basic functionalities to be auto-generated in HI Tech C syntax for PIC 16F877A microcontroller

2. Thoroughly used binary search and depth-first search TEACHING EXPERIENCE

● Lab Assistant, The University of Texas at San Antonio, TX Sep 2023 - Present

● Graduate Teaching Assistant, The University of Texas at San Antonio, TX Sep 2022 - Aug 2023

● Grader, The University of Texas at San Antonio, TX Jun 2020 - Aug 2020

● Graduate Teaching Assistant, The University of Texas at San Antonio, TX Sep 2019 - May 2020

● Graduate Teaching Assistant, The University of Texas at San Antonio, TX Feb 2018 - May 2018

● Private Teacher, Self-Employed, Colombo, Sri Lanka Feb 2013 - May 2017

● Graduate Teaching Assistant, The University of Colombo, Colombo, Sri Lanka Jul 2012 - Dec 2012 JOURNAL SUBMISSIONS

● “Biometric Recognition - Authentication for Post-GDPR Compliance” 1. Submitted a journal paper to ‘IEEE TRANSACTIONS ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE’ as the 1st author in 2021 (Not published) 2. Explored multiple biometric modalities and algorithms for authenticating users, examining their utilization considering GDPR

3. Provided a summary of current modalities and algorithms considering GDPR for the reader and discussed how initiatives such as GDPR shape the future development of biometric algorithms

● “Survey of Biometric Authentication”

1. Submitted a journal paper to ‘IEEE TRANSACTIONS ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE’ as the 1st author in 2020 (Not published) 2. Explored the currently available set of biometric modalities that are being used to recognize and authenticate users.

3. Examined the utilization of biometric methods and algorithms such as feature extraction, providing a summary of current modalities and algorithms for the reader PRESENTATION

● COMMUNICATION: 3 Minute Thesis (3MT), University of Texas at San Antonio, TX Apr 2021 PROFESSIONAL ORGANIZATIONS

● IEEE Student Member 2020-2021

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