Mario Auqui
Open to Opportunities

Mario Auqui

Data Analyst

Recent grad from Wake Forest University · New York City

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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 naturally curious, ask many questions, and love understanding how and why things work. I also enjoy adventure and trying new things.

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

Things I'm Into:

  • Fitness & MMA
  • Discovering new food/cuisines
  • Animals
  • Photography
  • Outdoor exploration
  • Thriller books

Projects

Spanning frontend development, machine learning, and data analysis.

Customer Churn Driver Analysis

Data

Tools and data source: SQL, Python (Pandas), and customer transaction and account datasets from subscription records.

  • Analyzed churn patterns by segment, tenure, product usage, and support behavior to isolate high-risk customer groups
  • Identified key churn drivers and translated findings into retention-focused business recommendations
  • Built a Power BI dashboard for churn trend monitoring, cohort comparison, and KPI tracking
SQLPythonPandasPower BICustomer Analytics

Cancer Incidence & Socioeconomic Analysis

Data

Tools and data source: Python (Pandas, NumPy, Matplotlib) with public health and socioeconomic datasets across regions.

  • Cleaned, merged, and processed multi-source health and income data to prepare a consistent analysis-ready dataset
  • Performed exploratory analysis and regression to evaluate how income levels relate to cancer incidence
  • Identified a negative correlation between median household income and cancer incidence across geographic regions
  • Visualized trends and outliers with comparative charts to communicate findings clearly
PythonPandasNumPyRegressionMatplotlib

Palm-Tree Detection — PRISM

Data / CV

Tools and data source: Python, UAV image datasets, and Roboflow-labeled aerial imagery from tropical forest regions.

  • Processed and structured 1,200+ image samples into labeled datasets for consistent evaluation across regions
  • Evaluated model performance using precision, recall, and mAP to compare baseline and tuned results
  • Improved detection performance by over 60% after regional tuning and data refinement
  • Presented analysis and results at URECA Day, Wake Forest University
PythonData ProcessingPrecision/RecallmAPRoboflow
View Poster →WFU Project Page →

StillRio Web Application

Data / Product

Tools and data source: External APIs for location, weather, and route data integrated into a travel planning dataset.

  • Processed and normalized API responses to create consistent destination, weather, and route records
  • Analyzed travel-related data points to surface useful planning insights for users
  • Identified high-value information patterns that improved trip decision support and content relevance
APIsData IntegrationData CleaningAnalysis
Live Site →

Developer Portfolio Website

Portfolio

Tools and data source: Portfolio content datasets containing project outcomes, metrics, and technical summaries.

  • Organized and presented analytics and machine learning projects with concise, insight-driven summaries
  • Structured project content to make tools, analysis workflow, and measurable outcomes easy to scan
Data StorytellingPortfolioProject Communication
Live Site →

Recent Experience

Research, engineering, and operations roles.

Undergraduate Data Research Fellow

Wake Forest University

May 2025 – January 2026
Winston-Salem, NC
  • Processed and cleaned a large dataset of Amazon rainforest aerial imagery using Python, creating structured labeled datasets for analysis.
  • Executed SQL queries to track model experiment results, logging hyperparameters and performance metrics (precision, recall, mAP) across multiple training runs.
  • Collaborated with interdisciplinary faculty to design experiments, perform quantitative analysis, and present findings at URECA Day.
  • Automated object detection pipeline to identify palm trees in unseen images, reducing manual annotation time and improving reproducibility.
  • Built data preprocessing workflows to filter and structure image patches, enabling efficient model training on 1,200+ samples.

Data Analyst Intern

The Clearing House

May 2024 – Aug 2024
New York, NY
  • Engineered an end-to-end data pipeline using Python, Pandas, and Jupyter Notebook to process one year of CHIPS financial transaction data, handling missing values and cleaning inconsistent records.
  • Leveraged SQL to save model predictions and actual results in a database, making it easy to compare performance across models.
  • Cleaned and prepared transactional data, then built a forecast that achieved over 85% accuracy for banks processing 90% of U.S. wire transactions.
  • Presented model results and insights to 50+ stakeholders including executives and senior leadership as part of the final project.

Operations Data Intern

Atlantic General Construction

May 2023 – Aug 2023
New York, NY
  • Used Excel to track project timelines, budgets, and client requirements, maintaining organized spreadsheets for daily workflow management and reporting.
  • Communicated with clients and cross-functional teams to gather requirements, document progress, and resolve 5–10 weekly inquiries, ensuring project transparency and stakeholder satisfaction.
  • Analyzed project data in Excel to identify workflow bottlenecks, reducing task completion delays by approximately 17% through targeted process improvements.

Skills

Tools, languages, and technologies I work with.

Data Analysis & Visualization

PandasNumPyExcelTableauPower BIMatplotlibSeaborn

Programming & Query Languages

PythonSQLRJavaScriptTypeScriptJavaCBash

Databases

PostgreSQLMySQLMongoDBQuery OptimizationData Modeling

Analytical Techniques

Data CleaningEDARegression AnalysisHypothesis TestingA/B Testing

Tools & Technologies

Jupyter NotebookExcelGit

Education

Wake Forest University

B.S. Computer Science · Entrepreneurship Minor

Dec 2025 · Winston-Salem, NC

Relevant Coursework

SQL & Database ManagementPython for Data AnalysisProbability & StatisticsRegression AnalysisData VisualizationData ScienceLinear AlgebraCalculus I & IIData StructuresAlgorithms & AnalysisComputer Systems

Resume

Download my latest resume.

Contact

Email marioauqui.contact@gmail.com

LinkedIn /in/marioauqui

GitHub @marioauqui