Customer Login


Set your Country:

Project Team Summary:


Consultant ID: 1741


Availability: In stock


* Required Fields


Work Experience:
Private Firm, Big Data, Analytical, and Business Intelligence Expert
Accomplishments: Big Data: Helped clients implement Big Data solutions to meet their business and technical needs. Created Big Data models using Sqoop to import structured and unstructured data into Hive. Used Hive Serialization and deserialization techniques to load unstructured data. Then analyzed the data by using Impala and Hue. Analyzed structured and unstructured data for discrepancies. Created Big Data Strategy for clients integrating existing Relational Databases with structured and unstructured data. Worked to help design, install and deploy cloud based Big Data solutions using Azure and AWS for clients. Created real-time streaming solutions with Kafka and Spark Streaming. Used Cloudera and Hortonworks Big Data framework environments to build Big Data Solutions. Designed Data Analytics strategy roadmap for clients. Used Splunk to pull in data from multiple log file sources and then report on the results. Used Apache Pig and Apache Spark to write queries against Hadoop data set. Created Big Data visualization solution by using Tableau and D3.js on top of Spark to enable end-users to explore data, create insights, reporting and dashboards.

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. Used Alteryx to import data from multiple sources, find analytic insights, build time-series analysis, find data discrepancies, and then present the results to clients.

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. Built structured solutions to help customers analyze massive amounts of data quickly and come up with analytical solutions. Delivered insights to clients to understand what was going in their business. Used Apache Spark, Hadoop, Sqoop, Apache Pig, Informatica, R, Minitab, SPSS, Hyperion, Oracle DB and Crystal Ball to deliver solutions.

Companies/Brands Worked on:

MS, Business Intelligence and Analytics, University of Virginia,