Bio: Data Scientist with a background in Environmental Biology.
Experience in data acquisition and data modeling, statistical analysis, machine learning.
Experience 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.
Technical Skills
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