Data Science and Machine Learning Operations (MLOps) Instructor public Remote experience
Jan 2023 - Current (3 years 10 months)
• Preparation of data and exploratory analysis.
• Creation of Machine Learning models for Classification, Regression and Clustering to extract valuable information from the data (insights) and
making better business decisions.
• Management production models through the Machine Learning Operation (MLOps) approach.
• KMeans, HDBSCAN, Random Forest Classifier and Regression, XGBoost, GridSearchCV and Linear Regression.
• Technical Skills: Microsoft Azure, Python, Fastapi, Docker, MLFlow, Gradio, Hugging Face, MLOps, Pandas, PostgreSQL, SQL, Scikit‑learn.
• Soft Skills: Communication, Teaching, Presentation skills.