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.
Sharing insights on Data Engineering, Machine Learning, and Cloud Technologies
