Moisés (Joel) Ortega Catriñir-Customer Churn Prediction (Machine Learning)
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Experience
Customer Churn Prediction (Machine Learning)
- Built a classification model using Random Forest to predict customer churn for a telecom company
- Achieved 88% accuracy through data preprocessing, feature engineering, and model optimization
Global CO₂ Emissions Analysis
- Analyzed global emission trends and correlations between GDP, population growth, and CO₂ output
- Produced interactive data visualizations for public communication and decision support
IPC Value Estimation and Economic Trend Analysis (Chile)
- Performed time-series forecasting to estimate Chile’s Consumer Price Index (CPI) using regression and moving-average models
- Predicted inflation trends and visualized historical and projected economic fluctuations
Seismic Risk Analysis in Chile
- Developed a data-driven model to assess earthquake risk patterns across Chilean regions using geospatial and historical seismic data
- Applied statistical modeling and visualization techniques to identify high-risk zones and temporal frequency patterns
Statistical Demonstration of Bayes’ Theorem Limitations
- Created simulations to illustrate common statistical pitfalls and real-world limitations of Bayes’ Rule in uncertain or imbalanced data scenarios
- Compared posterior probabilities under different prior assumptions, emphasizing the importance of context in probabilistic reasoning
Industry Experience
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Experienced in Telecommunication, Energy, Banking and Finance, Government and Administration, and Education.
Business Area Experience
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Experienced in Business Intelligence and Research and Development.
Summary
Motivated and detail-oriented Data Analyst with a solid foundation in data science, statistics, and machine learning. Certified by Google and IBM through Coursera programs, with hands-on experience building real-world projects in Python, SQL, and data visualization. Passionate about transforming complex datasets into actionable insights. Eager to contribute analytical and problem-solving skills to innovative teams.
Skills
Languages
- Python
- Sql
- R (Basic)
- Html/css (Basic)
Libraries
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Scikit-learn
- Tensorflow (Introductory)
Tools
- Jupyter Notebook
- Git
- Github
- Tableau
- Excel
- Power Bi
- Google Sheets
Concepts
- Data Cleaning
- Feature Engineering
- Machine Learning
- Data Visualization
- Statistics
Soft Skills
- Analytical Thinking
- Problem Solving
- Continuous Learning
- Collaboration
- Communication
- Adaptability
- Attention To Detail
Languages
Certifications & licenses
Data Analytics Professional Certificate
Data Science Professional Certificate
IBM
Statistics
Experience
Expertise
Qualifications
Profile
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