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Jeff Shauer
Big Data, Hyperion, Analytics, and Business Intelligence Expert at JS Business Intelligence, LLC
United States,

Why you should speak with me:

Jeff has 7 years of experience in the Computer Software industry. Jeff is currently a Big Data, Business Intelligence, and Analytics Expert at JS Business Intelligence, LLC.
Industry Focus:
Business Areas:
IT – Information Technology


Jeff Shauer has been building out complex automated analytical solutions for over the past 13 years. He has worked with a variety of Big Data, Business Analytics, Business Intelligence, Visualization technologies to help clients out over the past 13 years. Currently, he is helping to build real-time analytical solutions with petabytes of data using Kafka, Spark, and Cassandra. Jeff helps clients out by understanding business and technical problems and coming up with agile and automated solutions. He has experience in developing, maintaining, owning, and managing big data and financial planning systems at small, medium, and Fortune 500 corporations as well as in public sector clients.

He has experience working at private, public, and Fortune 500 organizations including IBM, Nextel, Agilent, Merck, and StorageTek. Jeff has a Master’s degree from the McIntire School of Commerce at the University of Virginia in the Management of Information Technology and a Bachelor of Science degree from the McIntire School of Commerce at the University of Virginia in Commerce. Jeff is the owner of the Washington DC based JS Business Intelligence consultancy that builds and creates Big Data Solutions.

Specialties: Cassandra, Spark, Solr, Kafka, Oracle Hyperion Essbase, Oracle Hyperion Planning, OBIEE, OBIA, Forecasting, Statistical Analysis, Financial Analysis, Business Intelligence, Data Warehousing, Apache Hadoop, Apache Spark, R

Key Skills:

Big Data

Career History

JS Business Intelligence, LLC 
Big Data, Business Intelligence, and Analytics Expert 
Big Data: Big Data: Helped clients implement Big Data solutions to meet their business and technical needs. Architected and Built High Availability and Scalable Big Data solution for processing petabytes of data with real-time sensor analytics. Used Kafka as the data messaging tool that extracted from the data source and then took the results into to Spark Streaming, which performed transformations(aggregations/joined with relational data) on the data, used Spark ML to perform Machine Learning, and loaded the data into Cassandra DB for storage. Then used Tableau and D3.js to analyze the results, tell a story with the data, create Dashboards and show analytical insights.

Data Science/Analytics: Created analytical solutions for clients facing data analysis problems. Clients did not accurately forecast business, was able to work with business to apply regression models, time-series forecasting models using programming, Spark ML, R, and Minitab/SPSS to create accurate forecasting tools. Used Apache Spark to analyze data, create machine learning algorithms, and implement solutions into Production Environments. Created machine learning automated solutions that allowed for models to update as new data came in. Used Random Forest machine learning Algorithm to clean up data duplicates. Created alerts for clients when certain business thresholds came into play so that business could focus on key analytical measures.

End-to-End Solutions: Went end-to-end to design, built and create business solutions for Big Data/Data Warehousing/Business Intelligence Projects. Interviewed customers, understood business needs, and worked with infrastructure to develop and design solutions for clients.  
Feb 2009 – Present

Education & Qualifications

University of Virginia 
MS in Management Information Systems 
University of Virginia 
BS in Commerce 


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