Neil Menghani

Data Scientist at Dataiku

Neil Menghani is a Data Scientist who currently works at Dataiku. Prior to working at Dataiku, Neil was a Machine Learning Engineer at Morgan Stanley from February 2019 to January 2021. While at Morgan Stanley, Neil utilized big-data tools to build margin lending models for the Quantitative Finance Team. Neil also developed a framework and built an unsupervised risk model to generate alerts for thousands of client portfolios. In addition, Neil built a scalable model to detect and prevent malicious activity. Lastly, Neil built a trading system from scratch to communicate with a simulated exchange via REST APIs as part of a challenge during the training program. Prior to working at Morgan Stanley, Neil was a Data Scientist Intern at Morgan Stanley from June 2018 to August 2018 and a Data Analyst Intern at Lincoln Financial Group from June 2016 to August 2016.

Neil Menghani has a Master of Science from New York University in Mathematics, a Bachelor of Arts from Columbia University in Computer Science and Economics-Mathematics, and a Certification from Bloomberg LP in Bloomberg Market Concepts. Neil attended The Lawrenceville School for High School.

Neil Menghani reports to Clément Stenac, Co-Founder & CTO. They are on a team with Jed Dougherty - VP, Field Engineering, Kenji Lefevre - VP, Product, and Hillorie Farace Di Villaforesta - Head of Cloud Alliances.


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Dataiku

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Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.


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