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
