Welcome to my GitHub profile! I’m a Data Analyst with a strong interest in technology, data, and continuous learning. I completed a Data Analytics Bootcamp at Ironhack, where I built a solid foundation in Python, SQL, and Tableau. Throughout the bootcamp, I had the chance to collaborate with teams from different backgrounds, working on various projects and steadily improving my skills.
- 🎓 Im a certified Data Analyst
- 💼 I worked on multiple data analysis projects, including Commodity Price Analysis and Customer Churn Prediction.
- 🌍 I'm passionate about using data to solve real-world problems, especially in the areas of finance and customer behavior.
- ✨ I'm always eager to learn and grow, especially in fields like machine learning and predictive modeling.
- 📫 Feel free to connect with me: Email | LinkedIn
- Programming Languages: Python, SQL
- Tools: Tableau
- Libraries: Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn
- Soft Skills: Teamwork, Collaboration, Analytical Thinking, Problem Solving
Overview: This project explores the price trends of three major commodities: oil, gold, and silver. Using various data analysis techniques such as EDA, statistical hypothesis testing, and predictive modeling, the project provides insights into market behavior and future price predictions.
Techniques Used: Exploratory Data Analysis, Hypothesis Testing, ARIMA, Prophet, LSTM
Overview: Focused on predicting customer churn in the telecommunications industry, this project leverages machine learning models like Gradient Boosting to identify key factors that influence customer retention.
Techniques Used: Feature Engineering, Model Development, SMOTE, Grid Search
I'm always open to new opportunities and collaborations. Feel free to reach out if you'd like to chat about data analysis, machine learning, or any exciting projects you're working on!
Email | LinkedIn