Machine Learning Project

SON NGUYEN

Durham, NC ***** 919-***-**** *********@*******.**.*** Researchgate: Son-Nguyen Linkedin: son-nguyen EDUCATION

• Ph.D. Mathematics, The University of Alabama, Tuscaloosa, Alabama, 2024 (Expected)

– GPA: 3.9

– Awards: Ainsworth Fellowships

– Coursework: Machine Learning Course With Python, Graph Theory and Matroids

• M.A. Mathematical Statistics, Wayne State University, Detroit, Michigan, 2018

– GPA: 3.9

– Awards: Paul Weiss Award in Recognition of Outstanding Achievement in the Master’s Program

– Coursework: Algorithm Theory, Optimization, Optimal Control, Advance Statistic Theory I, II with R, Topological Data Analysis with R

• BS. Mathematics, Hanoi Pedagogical University 2, Vietnam, 2011 TECHNICAL EXPERIENCES

Department of Mathematics, The University of Alabama Tuscaloosa, Alabama Machine Learning Course With Python Spring 2022

• Project: Leaves classification using CNN with Python: Developed a CNN model to classify the plant images into 10 families with high accuracy using a dataset of 3,158 images with +71% training accuracy, +72% validation accuracy and 68% test dataset.

Department of Mathematics, The University of Alabama Tuscaloosa, Alabama Combinatorical Research With Python Spring 2021

• Project: "Permutations whose reverse shares the same recording tableau in the RSK correspondence"

- Used Python to compute and estimate formulas, which supported proving main theorems in the paper. Department of Mathematics, Wayne State University Detroit, Michigan Topological Data Analysis with R on the TDA package Winter 2019

• Project: Constructed an abstract simplicial complex to compute the homology that expresses holes of Starbucks locations in the US and Michigan State.

Department of Mathematics, Wayne State University Detroit, Michigan Kaggle Competition Team With R Summer 2018

• Project: House price prediction, Predict Future Sales, Titanic, and Santander Customer Transaction Prediction.

-Cleaned, visualized data, built predictive models by SVM, Time Series, Neural Network

-Tested predictions, evaluated the result, and improved the models by tuning parameters . Department of Mathematics, Oakland University Rochester, Michigan Seminars about Convex Optimization problems in Image/Signal Processing Recover With Matlab Fall 2016

• Project: Given talks and coded Douglas-Rachford, Proximal splitting, Gradient-Based and Primal-Dual algorithms. TECHNICAL SKILLS

• Programming languages: Python, R, SQL, MATLAB

• Software: MS Excel, PowerBI, Tableau

• Libraries/Frameworks: PyMC3, SciPy, Pandas, PyTorch, Tensorflow, Numpy, Scikit-learn, Keras, Matplotlib CERTIFICATES

• A/B Testing (Google)

PUBLICATIONS

• Combinatorics, Graph Theory:

- Tucker J. Ervin, Blake Jackson, Jay Lane, Kyungyong Lee, Son Dang Nguyen, Jack O’Donohue, Michael Vaughan,

"Permutations whose reverse shares the same recording tableau in the RSK correspondence", Seminaire Lotharingien de Combinatoire journal, vol. 86 on Seminaire Lotharingien de Combinatoire

- Son Dang Nguyen, "A proof of Lee-Lee’s conjecture about geometry of rigid modules", Journal of Algebra (2022), doi: 10.1016/j.jalgebra.2022.08.015

• Operations Research, Mathematical Programming and Optimization:

- Son Dang Nguyen, "Constrained Fermat-Torricelli-Weber Problem in real Hilbert Spaces", arxiv.org/abs/1806.04296

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