# Skylar Carfi

> Experienced Front End Software Engineer with a strong background in data sciences.

Location: San Francisco, California, United States
Profile: https://flows.cv/skylarcarfi

## Work Experience
### Software Engineer @ Connectly.ai
Jan 2023 – Present | San Francisco Bay Area

### Senior Front End Engineer @ WayScript
Jan 2020 – Jan 2023

### Front End Engineer @ WayScript
Jan 2018 – Jan 2020 | New York, New York

### Analytics Software Developer @ Booz Allen Hamilton
Jan 2017 – Jan 2018 | Washington D.C. Metro Area

### Graduate Teaching Specialist @ Cornell University
Jan 2016 – Jan 2016 | Ithaca
ORIE 4580/5580 - Simulation Modeling and Analysis. Responsible for leading recitations, and holding office hours to help students solidify material from lecture and prepare for exams.

### Student Researcher @ Weill Cornell Medical College
Jan 2016 – Jan 2016 | Ithaca, NY
Performed research for the department of Healthcare Policy & Analysis. I was responsible for implementing a linear program in AMPL to evaluate a healthcare system's response to an anthrax attack. I also designed and created an excel tool to help end-users understand the model and allow them to execute the program and run various scenario analyses from excel.

### Summer Analyst- Science @ AIG
Jan 2015 – Jan 2015 | 175 Water Street
•	Worked with the Implementation team responsible for operationalizing Science models and coordinating technologies
•	Assisted in implementing an R model to be used by underwriters
•	Performed GAP analysis of insurance product structure and R model inputs
•	Designed a .NET web service in C# using SOAP connected to a DeployR server, the client interface, and two database management systems: SQL Server and Oracle
•	Performed integration testing of web service in DeployR
•	Presented work to Science leadership
•	Completed 4 days of SAS training conducted by SAS institute

### Summer Analyst- Science Division @ AIG
Jan 2014 – Jan 2014 | 175 Water Street, NYC
Tracking resource allocation and status for Science's wide breadth of projects across AIG's Property and Casualty division. Science is based in NYC, London and Tokyo and employs techniques such as data analytics, predictive modeling, and machine learning to drive innovation in a rapidly changing, data driven landscape.


## Education
### Master of Engineering (M.Eng.) in Operations Research and Information Engineering
Cornell University

### Bachelor of Science (BS) in Operations Research and Engineering, minor in Computer Science
Cornell University


## Contact & Social
- LinkedIn: https://linkedin.com/in/skylarcarfi

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Source: https://flows.cv/skylarcarfi
JSON Resume: https://flows.cv/skylarcarfi/resume.json
Last updated: 2026-04-10