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Christine Boncher

@christineboncher

I uncover fraud indicators through behavioral analysis, evidence review, and cross-system claim validation.

United States
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What I'm looking for

I'm looking to apply fraud detection, investigative analysis, and data validation skills in a role focused on preventing loss, strengthening controls, and producing defensible outcomes.

I uncover fraud indicators across auto claims environments by combining precise questioning, statement analysis, behavioral cues, and cross-system data validation.

At American Family Insurance, I managed up to 130 claims monthly and identified and escalated two SIU-worthy cases each week. I helped prevent a $4,400 fraudulent payout by flagging damage inconsistent with the reported loss.

I also designed Magical browser-extension templates that reduced cycle time by 20%, and improved claim-processing accuracy by 30% through coverage and liability verification for 50 adjusters. Across claims roles, I made SIU referrals, prepared referral packets, and supported quarterly fraud prevention totaling $120K in saved payouts.

I'm building further analytics capability through Computer Investigations & Digital Forensics coursework, including Python, SQL, Tableau, Google Sheets, and Excel. My work is grounded in confidentiality, regulatory compliance, KYC verification, and clear evidence-based case narratives.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Champlain College logoCC

Champlain College

Bachelor of Science, Computer Investigations & Digital Forensics

2026 - 2028

Pursuing a Bachelor of Science in Computer Investigations & Digital Forensics, with coursework in Python, SQL, Tableau, Google Sheets, and Excel.

Tech stack

Software and tools used professionally

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