Curriculum Vitae
Montreal
123-456-7891
demomail@mail.com
github.io/profile
linkedin.com/profile
Summary
Responsible for developing and implementing risk assessment models for insurance portfolios, including life, health, and property insurance. Lead cross-functional teams to enhance predictive analytics and improve risk mitigation strategies. Active participant in regulatory compliance audits and internal training programs.
Education
2009-2013
Master of Technology
Philadelphia, PA
Thesis: Deep learning-based Regression models for Dynamic Expression Recognition in videos
Advisors: Prof. Eric Granger and Prof. Patrick Cardinal
2006-2009
Bachelor of Technology
Electronics and Electrical Engineering
IIT
Undergraduate Thesis: Image Inpainting using Exemplar-Based Synthesis
Research Interests
I am interested in the area of Machine Learning and Computer Vision including
Multimodal Learning
Affective Computing
Deep Learning
Video Analytics
Skills
Actuarial Software: Prophet, ResQ, AXIS, Moses, Speed
Programming & Data Analysis: Prophet, ResQ, AXIS, Moses, Speed
Actuarial Knowledge: Risk Management, Capital Management, Solvency II, IFRS 17, Pension Valuations, Life/Health/P&C Insurance Principles, Compliance
Technical Skills: Database Management, Data Visualization, Statistical Analysis, Financial Reporting, Audit
Soft Skills: Analytical Thinking, Problem-Solving, Communication, Leadership, Teamwork, Project Management, Attention to Detail
Modeling: Financial Modeling, Pricing Models, Reserving Models, Risk Modeling, Predictive Analytics, Stochastic Modeling
Selected Projects
2023
Climate-Risk Stress Test (Project Lead)
Tools: R, GIS, GCP
Identified $180 M CAT exposure gap; informed re-insurance purchase
2022
IFRS 17 CSM Engine Build (Tech Lead)
Tools: C#, SQL, Azure
99.9 % calc accuracy; deployed to 10 markets
2021
Life-Block Repricing (Analyst)
Tools: Prophet, VBA
Product margin ↑ from 2.8 % → 3.6 %
Selected Publications
2023
Recursive Joint Attention for Audio-Visual Fusion in Regression-based Emotion Recognition (Oral)
Praveen, Eric Granger and Patrick Cardinal
IEEE International Conference on Acoustics, Speech and Signal Processing, Paper
2022
Audio-Visual Fusion for Emotion Recognition in Valence-Arousal Space Using Joint Cross-Attention
IEEE International Conference on Acoustics, Speech and Signal Processing, Paper
Rate: 9.6% Selected as one of the best reviewedpapers.
2021
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition (Oral).
IEEE International Conference on Acoustics, Speech and Signal Processing, Paper
Best of FG2021: 6.33% of accepted papers in FG2021
Selected Publications
Volunteer Instructor, Junior Achievement: “Intro to Financial Literacy” (2018–Present)
NYC Marathon finisher 2021 & 2023 – Raised $7 k for World Bicycle Relief
Amateur jazz saxophonist; perform quarterly at local community center
Conferences
“Beyond VaR: Tail-Risk Metrics for Pension Funds,” Journal of Applied Actuarial Science, 2022
"Panelist, “AI in Reserving,” SOA Annual Meeting, Chicago, 2021"
References
Dr. Rebecca Thompson
Professor of Computer Science
Swarthmore College
Phone: (123) 456-7890
E: rthompson@swarthmore.edu
Dr. Rebecca Thompson
Professor of Computer Science
Swarthmore College
Phone: (123) 456-7890
E: rthompson@swarthmore.edu