Renjie Song
I am a seasoned data scientist with 6+ years of management consulting, hedge fund and actuarial experience.
I am broadly interested in solving strategic business problems using data science, quantitive modeling and machine learning. Due to my background, I have developed a solid foundation in classical statistical analysis, and also acquired a keen sense of business acumen.
Past projects I have worked on including life insurance accelerated underwriting, cross-sell/up-sell, variable annuity hedging, mortality/lapse predictive modeling, survival analysis, real-time pricing, OCR information extraction, etc.
A lifelong learner and problem solver, I am always passionate about learning new skills and technologies to tackle the latest challenges.
I am a Fellow of the Society of Actuaries, a global professional organization for actuaries.
Experience
Director, Actuarial Data Science
- Managing a small team of data analysts and software engineers
- Currently in charge of a project intended to improve company’s document processing capabilities using computer vision and OCR technologies
- Created lead generation calculator to offer real-time life settlement estimates average within 5% of the final offer price
- Developed independent actual-to-expected assessment of 3rd party life expectancy estimates and provided critical insights to the management team
Consulting Actuary
- Performed regression-based experience studies to provide clients with a better view of industry lapse, mortality experience, and policyholder behaviors
- Developed inforce compression tools using clustering (K-mean) and feature-selection (GBM) to reduce run-time
- Created variable annuity valuation models in C++, with complex asset and liability logic
- Primary developer for several major outsourcing clients; Areas of focus: ETL, cloud/grid environment, inforce creation; Tools used: C# & SQL
- Lead model developer for multiple M&A consulting projects
Management Consultant
- Worked on life insurance predictive analytics projects, including bid preparation, readiness assessment, and subsequent model build
- Developed predictive analytics use cases in areas such as application triage, cross-sell, up-sell and agent retention
- Led Deloitte training sessions on the business applications of predictive analytics in the life insurance industry
- Primary point of contact for clients, upper management and offshore teams throughout engagements cycles for multiple projects
Education
Georgia Institute of Technology
GPA: 4.00
Kalamazoo College
GPA: 3.96
Skills
- Mobile-First, Responsive Design
- Cross Browser Testing & Debugging
- Cross Functional Teams
- Agile Development & Scrum
Interests
Apart from being a web developer, I enjoy most of my time being outdoors. In the winter, I am an avid skier and novice ice climber. During the warmer months here in Colorado, I enjoy mountain biking, free climbing, and kayaking.
When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technology advancements in the front-end web development world.
Awards & Certifications
- Google Analytics Certified Developer
- Mobile Web Specialist - Google Certification
- 1st Place - University of Colorado Boulder - Emerging Tech Competition 2009
- 1st Place - University of Colorado Boulder - Adobe Creative Jam 2008 (UI Design Category)
- 2nd Place - University of Colorado Boulder - Emerging Tech Competition 2008
- 1st Place - James Buchanan High School - Hackathon 2006
- 3rd Place - James Buchanan High School - Hackathon 2005