Daniel Preko Email & Phone Number

Atlanta, Georgia, United States

Atlanta Metropolitan Area

Plano, Texas

Dallas/Fort Worth Area

Access controlThird party oversightData confidentiality Access Governance

Greater Chicago Area

Customer Service Desk, Great Lakes, Il

Manages school seat availability by using enterprise resource system to update personnel records, reserve class quota’s, and confirm class seat availability which leads to better quota management.Uses Navy Standard Integrated Personnel System (NSIPS), which is a custom PeopleSoft HCM v9.x system to process new accessions; reassign personnel to new career paths and generate reports.Designed logistics tracking system that resulted in $100k of annual savings by identifying and eliminating supplies that are been underutilized or no longer needed

Disbursing Office- Carl Vinson

Planned, coordinated and provided supervisory oversight for the installation, testing, operation, troubleshooting, and maintenance of hardware and software systems.Maintained network servers which supports close to six thousand customers by performing daily backups, and purging system of corrupt files. Performed daily back up functions, monitored event logs for errors, and applied updates

Greater Chicago Area

Information Security: Developed a Security Control Framework with emphasis on standards and procedures for vulnerability management, encryption, and logging to ensure that information security program management and ERP systems are in regulatory and legal compliance with security standards such as PCI DSS, SOX, and ISO 27001. Configured and installed SIEM tools (Security onion, Splunk) to collect data and monitor the activities on a network.Business Intelligence: Used IBM SPSS Modeler to do a text analysis of Chicago Hotel data to identify trends relating to customer expectations. This involved doing a cluster analysis of customer reviews and opinions and making recommendations based on the findings. Additionally, used SPSS statistics to do a logistics regression and make predictions on the likelihood of a customer purchasing an insurance policy.Used AWS Ec2 to set up Hadoop clusters to analyze Chicago crime data set from 2001-present and Chicago microeconomics data set from 2008-present. Wrote custom SQL queries to derive insights from the two data sets. Tools used include AWS Ec2, Hadoop, SQL, Hive, Pig, Tableau, and HDFS