Hi, I'm Wellington Carlos
Data Enthusiast | Statistical Analysis & Predictive Modeling
I transform raw data into clear, actionable intelligence using Python and statistical rigor to drive data-driven decision-making.
View My Projects
Data Enthusiast | Statistical Analysis & Predictive Modeling
I transform raw data into clear, actionable intelligence using Python and statistical rigor to drive data-driven decision-making.
View My Projects
Greetings! I'm a dedicated **Data Enthusiast** with a strong foundation in transforming raw data into clear, actionable intelligence. My expertise lies in statistical analysis, predictive modeling, and developing compelling visualizations that bridge the gap between complex datasets and practical business strategy.
I am proficient in leveraging tools like **Python (Pandas, Scikit-learn, Matplotlib)**, **SQL**, and **Power BI/Tableau** to deliver data-driven solutions. My mission is to use data to solve real-world problems and optimize decision-making processes.
Cleaning, processing, and exploring complex datasets to extract key statistical insights and trends.
Building and validating Machine Learning models (Regression, Classification) for forecasting and prediction.
Developing efficient ETL processes and automating data extraction and transformation using Python and SQL.
Creating interactive dashboards (Power BI, Tableau) and reports that clearly communicate results to stakeholders.
A Machine Learning project focused on creating a **linear regression model** to predict the value of residential properties. It involved data cleaning, exploratory analysis, and model validation steps.
A Machine Learning project focused on predicting customer churn for a telecom company. Utilized SMOTE to handle imbalanced data and optimized Boosting models for a robust classifier. Identified key drivers for customer attrition, generating **actionable insights** for targeted retention strategies.
Comprehensive analysis of airline data to identify key factors contributing to flight delays. Utilized **Exploratory Data Analysis (EDA)** and machine learning techniques to **predict delay probability** and duration, providing insights for improved logistics.
A comprehensive Exploratory Data Analysis (EDA) project focusing on the trends and patterns of immigration to Canada between 1980 and 2013. Utilized **Python's data visualization libraries** to create compelling and informative statistical charts and graphs.
A comprehensive analysis of financial market data, focusing on **time-series analysis** to identify volatility, trend patterns, and key risk indicators. This project showcases data cleaning, feature engineering, and statistical modeling to derive actionable insights for potential trading strategies.
A demonstration of core data manipulation and analysis skills. This project focuses on **data cleaning**, **transformation**, and conducting **Exploratory Data Analysis** to solve a specific business or technical challenge. It showcases proficiency in the fundamental steps of the data science lifecycle.
I'm open to new data challenges, collaborative projects, and career opportunities. Feel free to connect!
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