A Data Professional, adept in applying Python libraries such as Numpy & Pandas for featuring engineering of labeled data for machine learning pipelines, also Scikit-Learn for model evaluation prior to deployment. Solid track record of computational skills, statistical analysis, predictive modeling, and a keen learner of effective storytelling with Data Visualization. Comfortable developing, and maintaining data pipelines, either on-premises or in the cloud.
be water, my friend.
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BI-Airflow
BI-Airflow PublicWhat we are going to build next will be a small Airflow application in which we will automate various business tasks in an ETL pipeline.
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docker-airflow-spark
docker-airflow-spark PublicBuilding a Modern Data Lake with Minio, Spark, Airflow via Docker.
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