THARUN KUMAR BANDARU

+1-470-***-**** adwp08@r.postjobfree.com Linkedin Atlanta, GA Github

EDUCATION

GEORGIA STATE UNIVERSITY Atlanta, GA

Master of Science in Data Science and Analytics(GPA: 4.16/4.00) Aug 2022 - Dec 2023

• Concentration: Big Data and Machine Learning

• Relevant Coursework: Machine Learning, Big Data, Data Mining, Fundamentals of Data Science, Database Systems, Bayesian Statistics, Computational methods in Statistics. JNTU- JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY Hyderabad, IND Bachelor of Technology in Electrical and Electronics Engineering (GPA: 3.58/4.00) Aug 2017 - Jul 2021

• Relevant Coursework: Fundamentals of Data Science, Database Management, Problem Solving through C, Data Structures through C.

PROFESSIONAL EXPERIENCE

Graduate Research Assistant Atlanta, GA

TReNDS Lab (GSU+ GTech+ Emory University) Aug 2022 - Present

• Research focused on MRI, fMRI data, studying complex brain patterns and White Matter deficit patterns associated with Alzheimer’s and Schizophrenia diseases using Deep Learning Models. [PyTorch, LSTM] Software Engineer Bangalore, India

Accenture Jun 2021 - Jul 2022

• Built and deployed Automated Testing Frameworks (ATF) and worked on improving vulnerability responses and security incident responses and reduced time taken by 25 percent [ServiceNow] Machine Learning Research Engineer Delhi, India

PhD Research Global Mar 2021 - Aug 2021

• Collaborated closely with PhD researchers on breast cancer detection using various transfer learning models.

• Developed a UNet based architecture using different transfer learning models for Encoder. [Transfer Learning, Deep Learning, UNet]

Data Science Intern Bangalore, India

TechCiti Nov 2020 - Jan 2021

• Worked on data analysis and implemented solutions to maximize business impact, data-querying for supporting data and information needs of the enterprise using tableau.[Tableau] Deep Learning Intern Bangalore, India

Agrii Prince May 2020 - Jul 2020

• Collaborated with Deep learning engineers in building a responsive chat bot using an open-source conversational AI framework - RASA. [Rasa, Python] RESEARCH PUBLICATIONS

• Design and analysis of attention based mechanisms for intent recognition and classification- [IJRES]

• A Survey on recent advances in pneumonia detection using ChexNet- [IJRAR] CERTIFICATIONS:

• Tableau Desktop Certified Professional, Deep Learning Specialization, Azure AI-900 MAJORPROJECTS

Real Time Face Emotion Detection

• Captured and segmented real-time face video using haar-cascade classifier(OpenCV), implemented deep learning model to classify various emotions such as sad, angry, happy, neutral, and surprise. [OpenCV, Python] Pneumonia Classifier

• Developed a transfer learning based Deep learning model on classifying pneumonia.

• Trained and compared VGG-16, Resent - transfer learning models to categorize X-ray images of the chest.

[Transfer Learning, Deep Learning]

Electricity Load Forecasting

• Performed data visualization and data cleaning. Built an LSTMModelandfeditwithtime-series data to predict the future load. [LSTM, Tableau,Data Visualisation] Breast Cancer Classifier System

• Trained the U-Net model on the CBIS-DDS database which takes Mammographic images to detect Breast cancer; the model was evaluated on INbreast database.

• Used U-Net architecture, with Image-Net as encoder, and achieved an f1-score of 0.95. [U-Net, Image-Net] Winner - Hacklytics-Georgia Institute of Technology- 2023 SKILLS

• ML Skills: PyTorch, Keras, Tensorflow, OpenCV, Time Series Modeling, Data Analytics, NLP, Azure AI

• Languages: Python, R, SQL, Java, C, HTML, CSS, JavaScript

• Tools: Tableau, Power BI, Apache, Spark, Hadoop, Git, GitHub