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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 13 papers, executed successful projects, and showcased skills through blogging and GitHub. Dedicated to ongoing learning and staying abreast of industry trends.
The project is available on my GitHub and online on Medium (Towards Data Science)
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.
Learn basic theory about the 3 types of feature selection in machine learning namely filters, wrappers, and embedders.
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