Innovative and result-orientated senior data scientist, with 6+ years' advanced experience in machine learning, data analytics, Statistical analysis with Python, R, SQL, and Data visualization with Tableau and Power BI. Passionate for implementing data-driven solutions to deliver business results. Proven tracking record in driving innovative solutions and improvement across functions and transforming data-driven business decisions
Responsible for developing and productionalize data science models as products to optimize business decisions, establishing model automation infrastructures to reduce deployment costs
Tools: Python, R, Teradata, API (Flask, Plumber), Bitbucket, CI/CD, Docker, Jenkins, Helm, Kubernetes, Kibana
Responsible for implementing data mining from multiple sources, data analysis, and data visualization to deliver data-driven insights and recommendations for internal and external stakeholders
Tools: Python, R, Teradata, MS SQL Server, Oracle, SSIS, SSRS, Tableau, Power BI, MicroStrategy.
Served as liaison between business, production, and technical support to deliver supply chain analytical projects through data analytics and data visualization on large-scale datasets
Tools: Python, R, SQL, CPLEX, Tableau, Power BI
Responsible for leading data analytics and simulation modeling efforts on manufacturing design development, resource allocation, and layout optimization
Tools: Python, R, SQL, CPLEX, Tableau
Specializing in Operations Research
Machine Learning | Applied Text Mining in Python | Applied Machine Learning in Python | Getting Started with AWS Machine Learning | Artificial Intelligence Foundations: Machine Learning| Inferential Statistical Analysis with Python | Fitting Statistical Models to Data with Python | Understanding and Visualizing Data with Python | Querying with T-SQL | Analyzing and Visualizing Data
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