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Nicholas GrandizioNG
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Nicholas Grandizio

@nicholasgrandizio

I automate financial operations analytics and turn stakeholder requests into actionable data strategies.

United States
Message

What I'm looking for

I'm looking to continue improving financial-system analytics through automation, data strategy, stakeholder partnership, and solutions that reduce manual work and improve customer response times.

At Credit One Bank, I support executive stakeholders across Back Office, Fraud Operations, Telephone Support, and Collections by translating analytical requests into strategies my team can execute. I've automated alert metrics, volume monitoring, daily agent work distribution, and suspicious-activity investigations to improve customer response time and reduce manual work.

I'm a promoted Data Engineer/Analyst with hands-on experience in Python, SQL, SAS, Tableau, Snowflake, and ETL pipelines. My background also includes managing hospitality operations and supporting electrical power for field operations in the United States Marine Corps.

Experience

Work history, roles, and key accomplishments

Credit One Bank logoCB
Current

Data Engineer/Analyst II

Credit One Bank

Sep 2022 - Present (3 years 11 months)

Primary point of contact for line of business executives to submit analytical requests, translating issues into actionable strategies for the analytics team. Responsible for automation of alert metrics, volume monitoring, work distribution, investigation of suspicious activity, and development of new solutions to improve customer response cycle time.

HI

Bartender/Manager

Hospitality Industry

Jan 2015 - Dec 2022 (7 years 11 months)

Demonstrated high proficiency in communication and multitasking within a fast-paced hospitality environment.

Education

Degrees, certifications, and relevant coursework

University of Nevada, Las Vegas logoUV

University of Nevada, Las Vegas

Certificate, Data Science & Analytics

2022 - 2022

Completed a Certificate in Data Science & Analytics, covering databases, statistics, Python, SQL, Tableau, and Microsoft products.

Tech stack

Software and tools used professionally

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