Data Scientist

About


I am currently a Data Scientist at Nyansa where I conduct large scale analysis of IT network deployments. Looking at the full network stack we automatically baseline performance, detect anomalies and recommend remediations as well as systemic improvements. I design, prototype and implement in production algorithms that analyze hundreds of GBs every day.

In a previous life I worked on jet engines at Rolls-Royce. There, I built a set of modeling frameworks to improve the manufacturing process of gas turbine components.

I hold a Master's degree from Stanford University in applied mathematics (MS&E) with a strong focus on data science. My undergrad studies took place at École des Ponts et Chaussées, France's oldest and one of the most prestigious engineering schools, where I obtained a BSc in Operations Research

My lifelong passion for flying has led me to get the French skydiving license. I also fly an RC plane in my free time.

Timeline


  • 2016 - Current

    Nyansa, Inc.

    I am currently a data scientist at Nyansa. We provide unprecedented insights into network operations by focusing on in-depth analysis of end-users. Some of my public analyses can be found here and there.

  • 2014-2015

    Stanford University, M.S.

    I got a Master of Science at Stanford where I focused my studies on data science and mathematical modeling. I was a Research Assistant working on data analysis and a Teaching Assistant for an Optimization class in the School of Engineering and at the Graduate School of Business (MBA students).

  • 2013-2014

    Rolls-Royce

    I led the development of computational modeling methods for the injection and the sintering stages of Metal Injection Molding. I also participated in an internal innovation challenge in which I reached the final stage.

  • 2013

    Ecole des Ponts et Chaussees, BSc

    After high school I successfully got into one of the most prestigious French engineering schools, the Ecole des Ponts et Chaussees. There I majored in Industrial Engineering with an emphasis on optimization and operations research.

Projects


Resources for each project are available when you click on the icons.

Live Analytics Dashboard
Big Data • R Shiny • JavaScript

Job Classification Based on LinkedIn Summaries
Deep Learning • NLP • word2vec
Clustering

Social Dynamics on StackOverflow
Statistical Analysis • Time Series
MapReduce

Stochastic viability of cities facing flooding risk
Dynamic programming
Mathematical modeling

Skills


Data Science

Python

R

Scala

Spark

Mapreduce (mrjob)

Matlab



Web

HTML/CSS

Ruby (on Rails)

JavaScript

Flask

RShiny



General Programming

Java

C++

VBA