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.
- π Iβm currently working on building new machine learning models
- π± Iβm currently learning more deep learning algorithms as well as advanced data analytic tools
- π― Iβm looking to collaborate on machine learning/deep learning projects
- π¬ Ask me about my projects, ML, economics and statistics
- π« 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, NaΓ―ve 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