Data Information Security

Patrick White

***** ******* **** **, *** Vegas, NV, 89141

702-***-****

*******.*****@*********.***

SUMMARY OF SKILLS

Skilled in designing and implementing enterprise IT solutions with a rigorous background in hands-on data modeling and machine learning. Excellent written, oral, and visual communicator, presenting advanced technical concepts to various audiences, including business stakeholders, technical staff, and customers. Experienced in researching and synthesizing information from several technical sources to create actionable implementation plans. Independently completed multiple competing priorities in a fast-paced, multi-national corporate environment. Learned and applied concepts from risk management frameworks and regulatory compliance standards.

EDUCATION

Bachelor of Science, Information Technology, GPA: 3.9. Graduation date: June 2017. Colorado State University, Global Campus.

Major coursework: covering exam objectives from CompTIA A+, Network+, Security+, Linux+, Microsoft MCSA Windows Server 2008/2012.

Specialization in cyber security: courses including Ethical Hacking and Penetration Testing, Digital Forensics and Investigations, Information Security Legal and Ethical Issues, Principles of Cyber Security, Introduction to Cyber Security and Digital Crime. Labs, research and discussions focused on objectives from Certified Ethical Hacker (CEH) and Systems Security Certified Professional (SSCP).

Relevant coursework: IT Project Management, Effective Project Scheduling and Control, Managerial Economics, Financial Accounting, Database Management, Statistics in Business Analytics, Big Data and Cloud Computing, Data Mining, Foundations of Emergency Management, Public Administration

WORK EXPERIENCE

Data Science Consultant, 2018 – 2019, TechField, Atlanta, Georgia.

oRigorous training in data science and mathematical data modeling and pattern recognition on structured and unstructured data for various business applications, including marketing, customer retention, customer segmentation, fraud and anomaly detection, natural language processing, image classification, and recommender systems.

oHands-on application of Python programming, utilizing an extensive list of libraries, modern neural network frameworks, and big data processing technologies.

oTrained in soft skills and presentation of project findings to the audience's level of technical knowledge.

Advanced Analytics Developer, July 2018 – October 2018, Nestle USA, Arlington, Virginia.

oAttended a one week private training session hosted by Microsoft, covering Microsoft Azure components and use cases.

oPerformed data retrieval and data validation on Trade Promotions data using SQL and SAP queries, successfully identifying data mismatches spanning the previous year.

oDesigned cloud architecture for an on-premises Finance analytics application, resulting in a scaling, maintainable app design.

oTeamed up with data scientists and business analysts to test Power BI queries against SAP database to find optimal query sizes and parameters for retrieving millions of rows at a time.

oParticipated in multi-team meetings focused on data migration from Nestle on-premises systems to Microsoft Azure cloud systems. Topics included systems architecture, data lake design, use cases, and data security classification

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