LinkedInExperience in data acquisition and data modeling, statistical analysis, machine learning, deep learning, computer vision, and NLP. With a background in environmental biology and management in agriculture, I bring strong skills in team building and project management that help innovative companies make a difference.
- Languages: Python, SQL, C
- Predictive Modeling: Linear/Logistic Regression, Classification, Clustering, Decision Tree, Random Forest, Support Vector Machines, K-Nearest Neighbors, ARIMA
- Machine Learning: Deep Learning, Neural Networks, Image Processing, Keras, TensorFlow, Time Series, YOLO
- Databases: MySQL, PostgreSQL, SQLite
- Data Visualization: Matplotlib, Seaborn, PowerBI
- Environments: Google Colab, Jupyter Notebook, Visual Studio Code
- Data Science Methods: Obtaining, Cleaning/Scrubbing, Exploration, Modeling, Visualization, Storytelling
- Making Earth Observations 'geoFAIR'
- Image Recognition in Agriculture
- Bokeh-Your New Best Friend for Easy Data Visualization
- Effective Altruism and Data Science