Sep 2020 - Present
• Design large and expansive scale, implement distributed computing of data.
• Processing, cleansing, verifying and optimizing the data process pipeline used for analysis.
• Selecting features, building and optimizing classifiers using machine learning techniques.
• Analyze large amounts of data to discover trends and patterns.
• Build predictive models and machine learning algorithms.
• Present information using data visualization techniques.
• Collaborate with other team to build supervised and unsupervised learning capabilities with prediction, early alerting, and prescriptive recommendations.