Research Assistant

SUMI DEY

915-***-**** *****@******.****.*** github.com/sumi89 linkedin.com/in/dey-sumi

OBJECTIVE

Seeking a full-time opportunity that would allow me to exploit my expertise in Data Science, Machine Learn- ing, Deep Learning, Data Mining, Computer Vision, Natural Language Procressing EDUCATION

PhD in Computational Science, GPA:4.0/4.0, University of Texas at El Paso Jan 2016 - May 2021 (Expected) Thesis Title: Forecasting Space Weather using Deep Learning Techniques Master of Science in Mathematics, GPA:3.92.0/4.0, University of Texas at El Paso Jan 2014 - Dec 2015 Thesis Title: Numerical Study of The Supercritical Solution of The Stationary Forced Korteweg-de Vries Equation Bachelor of Science in Mathematics, GPA:3.47.0/4.0, University of Dhaka, Bangladesh Jun 2005 - Dec 2009 EXPERIENCE

Research Assistant, Vision and Learning Lab, University of Texas at El Paso May 2018 - Present

Developed deep learning models that improved the result of forecasting space weather by 30%

Built Convolutional and Recurrent Neural Network to predict solar ares from a combination of sequence of satellite images and time series

Research Assistant, Discovery Analytics Lab, University of Texas at El Paso Jun 2018 - May 2020

Explored probabilistic graphical models to capture vulnerability topics and their evolution over time

Designed and implemented deep-neural and regression model to predict vulnerabilities Teaching Assistant, University of Texas at El Paso Jan 2014 - Present

Taught Machine Learning, Data Structures and Algorithms, Probability and Statistics, Calculus, Linear Algebra PROJECTS

Question Answering Mar 2018 - May 2018

Explored machine learning models to predict answer to the questions from a reading comprehension dataset Unsupervised Learning Jan 2018 - Feb 2018

Designed and implemented Unsupervised Pattern Recognition algorithm to classify facial images Object Classi cation and Detection Jan 2017 - Dec 2017

Developed a deep neural network that outperforms machine learning models to classify and detect object in images Energy Prediction Jan 2016 - Dec 2016

Explored machine learning models to predict the energy radiated as the result of protein/ligand interactions PUBLICATIONS

\Predicting Solar X-ray Flux Using Deep Learning Techniques", IEEE WCCI 2020

\A Vulnerability Analysis and Prediction Framework", Computers and Security Journal 2019 TECHNICAL SKILLS

Programming: Python, R, MATLAB, Java, C/C++, SQL, Javascript, XML, MapReduce, Hadoop, LA TEX

Libraries: OpenCV, Keras, NLTK, Gensim, Scikit-learn, Weka, Jupyter, Pandas Platform: TensorFlow, PyTorch, AWS, GitHub, Tableau Database: MySQL, NoSQL HONORS AND ACHIEVEMENTS

GHC scholar 2020

Hack the Interview III coding challenge (486/919) 2020 Minority Science and Engineering Improvement Scholarship 2018 LEADERSHIP AND AFFILIATION

Association for Computing Machinery for Women (Active member) Jan 2019 - Present Society for Industrial and Applied Mathematics (Student member) Jan 2015 - Present Microsoft TEALS (Volunteer Teaching Assistant for Computer Science) Aug 2019 - Dec 2019

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