Profile Details

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Hire Carlos T.

Mexico

USD 10 /hr

Data Analyst & Applied Mathematician | Expert in Power BI, Statistics & Automation

Profile Summary

I am an Applied Mathematics graduate with a strong foundation in statistical modeling, programming, and data-driven decision-making. My work focuses on turning raw data into actionable business insights through automation, dashboard development, and anomaly detection. I specialize in using Power BI, Python, and SQL to build interactive dashboards, automate workflows, and generate strategic KPIs that align with business objectives. My background in statistics and machine learning allows me to approach problems analytically and provide solutions grounded in evidence. During my academic career, I have completed several data-centric projects, including a thesis on recommendation systems using neural networks, as well as the publication of an article on client classification based on loan repayment probability, applying logistic regression, KNN, neural networks, and random forest. Currently, I am developing a second thesis project on time series forecasting for electric power consumption. I am particularly interested in long-term collaborations where I can help clients uncover patterns in their data, optimize performance, and improve strategic outcomes through statistical rigor and thoughtful visualization.

Subject Matter Expertise

• ★ Data Analysis
• ★ Data Mining
• ★ Applied Statistics
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Business Analytics
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Comparative Analysis
• ☆ Social Statistics
• ☆ Meta-Analysis
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Mathematical Statistics
• ☆ Trend Analysis
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Computational Sciences
• ☆ Computational Mathematics
• ☆ Pure Mathematics
• ☆ Algebra
• ☆ Calculus
• ☆ Mathematical Logic
• ☆ Discrete Mathematics
• ☆ Data Storage
• ☆ Python
• ☆ SQL

Services

• Data & AI

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Work Experience

Prediction of Consumption Energy with Time Series Thesis

BUAP

September 2024 - Present

Student

Benemérita Universidad Autónoma de Puebla

August 2024 - Present

Systems Recommendation Thesis

BUAP

January 2024 - June 2024

Classification Score of Clients Article

BUAP

January 2024 - June 2024

Education

Master’s Degree in Data Science Research

Benemérita Universidad Autonóma de Puebla

August 2024 - Present

Bachelor's Degree In Applied Mathematics

Benemerita Universidad Autonóma de Puebla

August 2019 - September 2024

Certifications

• Diploma in Data Science

  Benemérita Universidad Autonóma de Puebla

  https://drive.google.com/file/d/1bH1RxHun1lWjXnY4M1dLN-h3VLIzHD70/view?usp=sharing

  June 2024 - Present

Publications

WORKING PAPER

Carlos Augusto, Carlos Augusto, Carlos Augusto, Carlos Augusto, Carlos Augusto, Carlos Augusto (2024). Machine learning techniques for predicting customer solvency .

DISSERTATION THESIS

Carlos Augusto, Carlos Augusto, Carlos Augusto, Carlos Augusto, Carlos Augusto, Carlos Augusto, Carlos Augusto (2024). Systems recommendation with machine learning .