
Christine Boncher
@christineboncher
I uncover fraud indicators through behavioral analysis, evidence review, and cross-system claim validation.
What I'm looking for
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
Managed 130 claims monthly, using precise questioning and statement analysis to surface inconsistencies and support fraud-related decisions. Identified and escalated suspicious SIU-worthy cases weekly, and designed browser-extension templates to reduce cycle time by 20%.
Education
Degrees, certifications, and relevant coursework
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
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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