Software Engineer / Data Analyst

Jean-Luc Peloquin

Las Vegas, NV ***** *************@*****.*** 702-***-**** LinkedIn peloquin.dev EDUCATION

University of Nevada, Las Vegas

Bachelor of Science in Computer Science - 3.5 GPA August 2020 - May 2024 RELEVANT COURSEWORK

STAT 411 - Statistical Methods Spring 2023

● Complex implementation and analysis of standard data distributions using R

● Advanced understanding of collection and representation of information, pre-processing and cleaning data CS 472 - Software Product Design I Fall 2023

● Collaborated efficiently with a team to plan, design, and implement a complex full-stack application

● Practical use of waveform analysis, PyTorch, conventional neural-networks, and post-processing CERTIFICATIONS

Google / Data Analytics Professional Certificate June 2024 - September 2024

● Completed six-month (accelerated) job-ready Google Career Certificate training

● Demonstrated hands-on experience with data cleaning, data visualization, and communicating data analytics

● Confidence in transforming complex data into actionable and clear insights using Excel, SQL, R, and Python SKILLS TECHNOLOGY

Python - C/C++/C# - Java - SQL - R - MATLAB Git / Power BI / Tableau / Excel / Word / Visual Studio JavaScript - HTML - CSS - Node.js - Jupyter - .NET AWS / Salesforce / Slack / BigQuery / AzureSQL WORK EXPERIENCE

Sales Associate / OMNI - Kohl’s May 2021 - July 2024

● Processed and managed deliveries; Lead inventory management, order fulfillment, and operations Specialist - Apple August 2024 - Present

● Conducted advanced technical support for hardware and software issues across the Apple ecosystem

● Communicated within a large team to maximize efficiency and ensure a smooth customer experience ACADEMIC AWARDS & HONORS

UNLV Howard R. Hughes College of Engineering Scholarship (2021) — Scholarship Gilman and Bartlett Scholarship (2022) — Scholarship Ralph Dippner Scholarship (2023) — Scholarship

Dean's List (2020-2021, 2023-2024) — Academic Honors PORTFOLIO

Advanced Algorithm for Enhancement of Fashion Imagery

● Developed an advanced method for automatically upscaling, sharpening, and recognizing figure in fashion images Automatic Music Transposition

● Collaborated with a team to engineer a specialized application that automatically transcribes music from audio files using proprietary convolutional neural networks and sophisticated waveform analysis

● Applied use of traditional waveform analysis, machine learning networks, and end-to-end models

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