James Huddleston

James Huddleston is a skilled professional with expertise in developing data pipelines, data collection, preparation, warehousing, and analysis.

His experience spans across analytics, coding, statistics, mathematics, and algorithm development, focusing on data preparation, deriving insights, and data-driven decision making.

With a background in Business Intelligence and Data Visualization using tools like Power BI, Tableau, Python, and R, James has honed his skills over 5 years in metrics identification, collection, analysis, and communication roles.

He has a solid foundation in Agile methodologies and considerable experience in big data and machine learning pipelines, including Databricks and Python (PySpark).

Additionally, James has demonstrated leadership in data engineering projects, with proficiency in blockchain development, dashboard creation, technical architecture documentation, and workflow automation solutions.

His current project involves devising a data strategy roadmap for the US Department of Veterans Affairs, focusing on portfolio assessment dashboarding for reporting Budget, ROI, and Investments using tools like MS-Azure, MS-Power BI, and Palantir Foundry.

James is well-versed in programming languages such as R, Python (NumPy, Pandas, Scikit-learn, Pyspark), SQL, NoSQL, and Linux, along with Business Intelligence tools like Tableau, Power BI, and data visualization libraries.

He also has experience with Big Data technologies including Hadoop, HBase, Hive, Spark, PySpark, databases like Oracle, Microsoft SQL Server, MySQL, and PostgreSQL, and Data Engineering pipelines using AWS, Microsoft Azure, and Google Cloud platforms.

His educational background includes a Master of Science in Data Science from Northwestern University, a PLC-Public Leadership Credential from Harvard Kennedy School, a Master of Liberal Arts in Finance-Statistics from Harvard University, and various certifications in Computer Science and Information Systems from reputable institutions.

James has held key positions such as Lead Data Engineer and Lead Data SME at Web Wrapper Multi-Media Group, and previously served in diverse roles at Verizon, Bank of America, Conduent, Hewlett Packard Enterprise, IBM, and other prominent organizations.

His expertise, combined with a strong educational foundation and rich professional experience, makes him a proficient professional in the field of data analysis, business intelligence, and data engineering.