Brent Nequin

Brent Nequin-• - linkedin.com/in/brentnequin • github.com/brentnequin OBJECTIVE Recent graduate from an accredited university with experience in machine learning, statistical analysis and modeling, and optimization. Highly technical and analytical Python Developer fresher seeking an entry-level position to apply excellent programming and development skills to solve real world industry problems. EDUCATION University of Illinois at Chicago – Chicago, IL Master of Science in Electrical Engineering University of Illinois at Chicago – Chicago, IL Bachelor of Science in Electrical Engineering September 2019 – December 2020 GPA 3.1/4.0 September 2015 – May 2019 GPA 3.3/4.0 Minor: Computer Science Relevant Coursework: Random Signal Analysis • Pattern Recognition • Linear Algebra • Neural Networks • Convex Optimization TECHNICAL SKILLS Languages: Python, C/C++, Java, MATLAB, JavaScript, SQL Software/Tools: Linux, LaTeX, Git, Jupyter, Flask, Django, PySpark, AWS Packages: NumPy, Pandas, Matplotlib, SciPy, Scikit-Learn, TensorFlow, Keras, CuPy Machine Learning: Linear Regression, GLMs, CNNs, SVMs, k-NN PROJECTS Character-Level Text Generation LSTM November 2020 – December 2020 • Built long short-term memory recurrent neural network to generate sequences of characters as words • Implemented TensorFlow and Keras Python libraries to construct and train LSTM neural network model Interactive Machine Learning August 2020 – September 2020 • Built and deployed Flask-based webtool for simulating unsupervised and supervised learning algorithms • Implemented k-Means and k-Medoids from scikit-learn Python library Speaker Identifier January 2020 – May 2020 • k-Means Clustering algorithm identifies gender of speaker using calculated information from training data • Composed Python code with the use of NumPy and Pandas for algorithm design and Matplotlib for illustrating clusters Non-Linear Amplifier Distortion Simulation January 2017 – May 2017 • Simulated the effects of crossover distortion and saturation distortion for amplifiers using MATLAB • Assisted university professor as research assistant in observing effects of crossover distortion and saturation distortion • Compiled academic research paper containing simulation results and discussed research findings WORK EXPERIENCE Educational Technology Lab – University of Illinois at Chicago Chicago, IL Graduate Assistant – IT Support September 2017 – December 2020 • Successfully implemented Slack REST API for notifying department staff of new RT Helpdesk tickets • Trained 5 student workers to resolve basic technical complications and handle tickets • Maintained SQL database to schedule and organize equipment reservations