
Connor Applegate
Motivated Data Analyst with 3+ years in the fraud prevention space. I have helped create tools and methodologies... | Seattle, Washington, United States
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Connor Applegate’s Emails co****@ce****.com
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Connor Applegate’s Location Seattle, Washington, United States
Connor Applegate’s Expertise Motivated Data Analyst with 3+ years in the fraud prevention space. I have helped create tools and methodologies to prevent and detect fraudulent payments for banks and payment processors. Technical Skills and Tools: AWS, SQL, Python, Tableau, VBA, R and Alteryx A few highlights of my work: • Implementation of regression algorithms to help a sister team prioritize work items in order to maximize recovery funds for our clients. • Development of a string comparison methodology to detect ACH/Wire payment anomalies and prevent millions of dollars of fraud each year. • Creation of automated scripts in Python, Alteryx and Excel VBA to streamline manual processes and save hundreds of hours of manual work across my team. I get excited about opportunities where I can explore data and apply novel data solutions to drive meaningful outcomes. I enjoy connecting with new people, give me a shout at [email protected] or here on LinkedIn!
Connor Applegate’s Current Industry Gemini
Connor
Applegate’s Prior Industry
Equitus
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Certegy Payment Solutions
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Jpmorgan Chase
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Gemini
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Work Experience

Gemini
Senior Associate, Credit Card Fraud Analytics
Tue Aug 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Jpmorgan Chase
Fraud Strategy Associate II
Sun Aug 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Aug 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
Certegy Payment Solutions
Fraud Prevention Analyst
Wed May 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Sun Aug 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Equitus
Data Analyst
Fri Mar 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed May 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)
Equitus
Technical Products Lead
Tue May 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Mar 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)