Renjie Song

(773) 789-7015 · srjalan@gmail.com

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

Vida Capital Inc.
  • 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
January 2019 - Present

Consulting Actuary

Milliman Inc., Financial Risk Management
  • 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
March 2016 - January 2019

Management Consultant

Deloitte Consulting LLP, Actuarial, Risk & Advanced Analytics
  • 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
August 2013 - March 2016

Education

Georgia Institute of Technology

Master of Science
Analytics/Data Science - Computational Data Analytics Track

GPA: 4.00

May 2018 - April 2020

Kalamazoo College

Bachelor of Arts (Magna Cum Laude)
Mathematics, Computer Science, Business

GPA: 3.96

September 2009 - June 2013

Skills

Programming Languages & Tools
Workflow
  • 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