Mario Auqui
Open to Opportunities

Mario Auqui

Frontend Engineer & Data Analyst

Recent grad from Wake Forest University · New York City ↔ Winston-Salem, NC

See my workGet in touchView resumesGitHubLinkedIn
Mario Auqui professional headshot portrait

About Me

Hi, my name is Mario Auqui and I'm a recent graduate of Wake Forest University.

I'm currently traveling, meeting new people, and working on personal projects before beginning a full-time role.

For those who don't know me, I'm someone who learns constantly, asks many questions, and enjoys understanding how and why things work.

I'm attracted to new experiences and admire those who push beyond conventional thinking.

Things I'm Into:

  • Animals
  • Discovering new food
  • Fitness & MMA
  • Outdoor exploration
  • Photography
  • Reading
  • Traveling

Projects

Spanning frontend development, machine learning, and data analysis.

StillRio Web Application

Web

An interactive travel discovery platform to help users explore road trips, destinations, and curated travel content. Features dynamic pages, client-side navigation, and external API integrations for mapping, weather, and location.

  • Integrated external APIs for mapping, weather, and location services for real-time travel insights
  • Designed responsive layouts and modern UI components for consistent performance across desktop and mobile
ReactNext.jsTypeScriptREST APIsTailwind CSS
Live Site →

Developer Portfolio Website

Web

A fully responsive portfolio built with React, Next.js, TypeScript, and Tailwind CSS to showcase technical projects, data analysis work, machine learning research, and professional experience.

  • Architected reusable UI components and modular page structures for scalable frontend development
  • Deployed on Vercel with CI/CD pipelines for automated builds and reliable production hosting
ReactNext.jsTypeScriptTailwind CSSVercel
Live Site →

Palm-Tree Detection — PRISM

ML / CV

Research project improving computer vision models for detecting palm trees in tropical aerial imagery. Processed and structured 1,200+ UAV image samples; improved detection accuracy by over 60% through regional fine-tuning.

  • Fine-tuned YOLOv8–YOLOv12 pipelines in Python/PyTorch; evaluated using precision, recall, and mAP
  • Presented at URECA Day, Wake Forest University
PythonPyTorchOpenCVRoboflowYOLO
View Poster →WFU Project Page →

Cancer Incidence & Socioeconomic Analysis

Data

Analyzed public health datasets to examine correlations between cancer incidence rates and median household income across geographic regions using exploratory data analysis.

  • Performed EDA using Python (Pandas, NumPy) to clean, merge, and analyze socioeconomic and health datasets
  • Built Matplotlib visualizations identifying trends between income levels and cancer incidence rates
PythonPandasNumPyMatplotlibEDA

Recent Experience

Research, engineering, and operations roles.

Undergraduate Research Fellow

Wake Forest University

May 2025 – Present
Winston-Salem, NC
  • Analyzed aerial imagery using computer vision and deep learning to detect and map tree distributions across complex environments.
  • Processed and structured UAV imagery into labeled training data using Roboflow, enabling model training across 1,200+ image samples.
  • Implemented and optimized object detection pipelines in Python/PyTorch; applied metrics such as precision, recall, and mAP for evaluation.
  • Collaborated with interdisciplinary researchers; communicated results through technical presentations and posters.

Data and Machine Learning Intern

The Clearing House

May 2024 – Aug 2024
New York, NY
  • Designed and deployed a machine learning pipeline on AWS SageMaker to analyze financial transaction data and forecast weekly pre-funding requirements for banks processing over 90% of U.S. wire transactions.
  • Engineered an end-to-end data pipeline using Python, Pandas, Jupyter Notebook, and Amazon S3 to process and analyze one year of CHIPS transaction data.
  • Performed data cleaning, feature engineering, and model evaluation; achieved over 85% forecasting accuracy.
  • Presented data-driven insights and model results to 50+ stakeholders, including executives and senior leadership.

Project Management Intern

Atlantic General Construction

May 2023 – Aug 2023
New York, NY
  • Coordinated project workflows and tracked operational data across multiple teams to ensure construction projects remained on schedule and aligned with client requirements.
  • Analyzed operational issues to identify root causes and resolve blockers; interfaced with clients and cross-functional teams to provide transparent updates.

Skills

Tools, languages, and technologies I work with.

Languages

PythonJavaScriptTypeScriptSQLJavaCRHTMLCSSBash

Frontend & Web

ReactNext.jsNode.jsTailwind CSSFlaskREST APIsResponsive Design

Data & Machine Learning

PyTorchTensorFlowKerasPandasNumPyMatplotlibSeabornscikit-learnOpenCVXGBoostUltralytics YOLO

Cloud & DevOps

AWSAzureDockerGitGitHubVercelLinuxJupyter NotebookRoboflowJiraFigma

Databases

PostgreSQLMySQLMongoDBDatabase modelingQuery optimization

Methods & Other

EDAFeature engineeringData visualizationStatistical analysisCI/CDAgile/ScrumAPI integrationFluent in Spanish

Education

Wake Forest University

B.S. Computer Science · Entrepreneurship Minor

Dec 2025 · Winston-Salem, NC

Relevant Coursework

Software EngineeringNeural Networks & Deep LearningAlgorithms & AnalysisComputer Systems IIWeb ApplicationsComputer VisionData StructuresDatabase Management SystemsData Science & RegressionLinear AlgebraScaling the Entrepreneurial VentureVenture CapitalEvidence-Based EntrepreneurshipMacroeconomicsCalculus I & II

Resume

Choose the version that best fits the role you are applying for.

Frontend Resume

Best for software engineering and frontend-focused roles.

Download Resume

Data Analyst Resume

Best for analytics, data, and machine learning roles.

Download Resume

Contact

Email marioauqui.contact@gmail.com

LinkedIn /in/marioauqui

GitHub @marioauqui