プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Carlos T.に依頼

Mexico

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

プロフィール概要

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.

専門分野

• ★ 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

サービス

• 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

職務経験

Prediction of Consumption Energy with Time Series Thesis

BUAP

9月 2024 - 現在

Student

Benemérita Universidad Autónoma de Puebla

8月 2024 - 現在

Systems Recommendation Thesis

BUAP

1月 2024 - 6月 2024

Classification Score of Clients Article

BUAP

1月 2024 - 6月 2024

学歴

Master’s Degree in Data Science Research

Benemérita Universidad Autonóma de Puebla

8月 2024 - 現在

Bachelor's Degree In Applied Mathematics

Benemerita Universidad Autonóma de Puebla

8月 2019 - 9月 2024

認定資格

• Diploma in Data Science

  Benemérita Universidad Autonóma de Puebla

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

  6月 2024 - 現在

出版物

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 .