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Experienced Data Scientist with a Ph.D. in Data Science, blending 6+ years of research expertise with 4+ years in business. Proven track record in analytics, programming, and modeling. Published 14 papers, executed successful projects, and showcased skills through blogging and GitHub. Dedicated to ongoing learning and staying abreast of industry trends.
What is a time series and which are the steps in a forecasting task? How to plot trends and seasonality? How to decompose?
Check this post which is available on Towards Data Science here!
The post based on its quality, was selected it to be recommended to readers interested in Data Science across their homepage, app, topic page, and emails.
This project aims to apply the best software engineering practices in a Machine Learning project in order to deploy the model.
Full Machine Learning Lifecycle using Airflow, MLflow, and AWS S3.
Investigate if ensemble feature selection methods are superior of individual in machine learning classification problems.
Feature engineering, selection, visualization, model development, feature explainability.
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