Melissa Schenck
AVP, Sr. Decision Science - Enterprise CX Data & Analytics
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolMelissa Schenck is an analytics and decision science leader with 11 years of experience building enterprise-scale CX data and AI capabilities at Travelers. She has progressed through roles from loss analytics and actuarial-reserving to leading enterprise journey analytics and now serves as AVP of Senior Decision Science for Enterprise CX Data & Analytics. Melissa blends deep quantitative training in mathematics and economics with hands-on data engineering instincts and a storyteller’s focus on actionable insights. She has a track record of operationalizing advanced analytics and AI across cross-functional teams, translating complex models into business-ready recommendations and measurable customer experience improvements. Based in San Diego, she pairs technical fluency (SAS/mainframe roots and modern data practices) with leadership in talent development and information delivery. Colleagues describe her as a creative problem solver who balances rigorous analysis with clear, persuasive communications.
11 years of coding experience
3 years of employment as a software developer
Mathematics, Economics, Mathematics, Economics at Rensselaer Polytechnic Institute
Github Skills (2)
etl2
extjs1
Programming languages (3)
Github contributions (5)
melissamonroe/who-plays-chess
Jan 2021 - Mar 2021
Contributions:44 PRs, 65 pushes, 20 branches in 2 months
bgalde-dev/etl-project
Feb 2021 - Apr 2021
UCSD Bootcamp ETL Group Project
Contributions:24 PRs, 38 pushes, 11 branches in 2 months
etlucsd
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