Data Scientist with a degree in economics. Skilled at analyzing data, creating visualizations, and providing insights. Strong analytical thinker with a passion for utilizing data and machine learning to explore endless possibilities and develop creative solutions.

• 🔭 I’m currently working on building new machine learning models
• 🌱 I’m currently learning more deep learning algorithms as well as advanced data analytic tools
• 👯 I’m looking to collaborate on machine learning/deep learning projects
• 💬 Ask me about my projects, ML, economics and statistics
• 📫 How to reach me: [email protected]

Languages: Python, SQL, R

Libraries: Pandas, Numpy, SciPy, Scikit-learn, statsmodels, Matplotlib, ggplot2, Seaborn, Plotly, TensorFlow, Keras, NLTK

Machine Learning: Linear Regression, Logistic Regression, K-Nearest Neighbors (KNN), Decision Trees, Random Forest, Naïve Bayes, Bagging, XGBoost, Support Vector Machine (SVM)

Version Control: Git/GitHub

IDEs: Jupyter Notebook, R Studio, Visual Studio Code

Data Sources: JSON, CSV, XLS, XLSX

Office Skills: Zoom, Slack, Excel