My name is David Dupuis. I am a French – American citizen with a Master’s in Computer Science specialized in Big Data and I have just graduated from the Metis Data Science bootcamp in San Francisco.
I grew up in Neuilly-sur-Seine, France, where I lived most of my life. I have been playing alto saxophone since the age of 7. I have also played many sports: Tennis, Soccer, Swimming, Basketball, Volleyball and Running.
I am incredibly curious, open-minded and creative person. I enjoy discovering and learning new facts. I also enjoy inventing realistic, sometimes crazy solutions to existing problems while being as innovative as possible.
Computer Science background
I graduated “cum laude” from the high school Louis Pasteur with a science baccalaureate. Then, I did two years of Higher School Preparatory Classes (or classes préparatoires aux grandes écoles) in France. At the time I didn’t know what I wanted and preparatory classes were one of the ways to business schools. However I wasn’t motivated to go through the necessary intensive studying that was required and I decided to change path.
After careful consideration I decided to change career paths and pursue an engineering degree by attending the Leonardo Da Vinci Engineering School in La Défense, France. My first year there I discovered my true passion: computer science.
That very summer my parents gave me the amazing opportunity to do a Summer Intensive in Computer Science at the prestigious Stanford University. I became confident and ambitious and enjoyed the raw intellectual power of the Silicon Valley.
I worked as a Software Developer intern at a brain implant factory in Sophia-Antipolis, France, where they manufactured brain implants for the medical company Integra Life Sciences. My role involved developing a software to help technicians analyze the flow and pressure in hydrocephalus shunts through a water circuit that a previous intern had built. During my three months there, I gathered data on the shunts, designed the software and coded it in VB.Net. The software performed automatic tests, saved the results and printed them out improving overall testing time by more than 50%.
I came back to California as part of an exchange program with my school, to study at the University of Riverside for 9 months. I pursued classes in Computer Science and Embedded Systems but also took classes in Accounting, Team Management and Creative Writing to expand my horizon of knowledge. There I also did the Code Day 2014 hackathon in Los Angeles where my partner and I won second prize after turning an acoustic saxophone into an electronic instrument in 24 hours. (Electrophone)
From July 2014 to January 2015 I spent six months working at Reverso – Softissimo as a Web Developer. I finished and improved a Python to modify large XML files. I also fixed the jquery code of a script to translate entire webpages using their API. Then I was put in charge of updating aspects of a newly purchased website: Expressio. I finished coding the newsletter engine and successfully deployed a new front-end database management system.
Data Science background
In the summer of 2015, I was strongly considering what I would be working on for the rest of my life. I wasn’t sure if I preferred being a Software Developer, a Web Developer, if I wanted to work on Front-end or on Back-end. I had always been fascinated by A.I. but did not want to spend the rest of my life doing research. One of the many things I enjoy doing is finding solutions and optimizing systems and our world needs optimization. With that in mind I figured that the path of a consultant was the most appropriate choice, but I didn’t want my computer science skills to go to waste. Through my research online I learned about Data Science and that’s when I knew what I wanted to do.
At my Engineering School I was specializing in big data and had taken classes in advanced statistics and mathematics. I knew I would be taking classes in Database management and Machine Learning, however I also wanted to take more extensive classes in order to build strong foundations in my new field of study. I started following Flowing Data and signed up on Data Science Weekly . I didn’t want to do another Master’s because I felt it was time to get on the market and build up real-world experience. Then I found out about the Metis Data Science boot camp, signed up and eventually was accepted.
During Metis I worked on five real-world data science projects where I learned how to gather and analyze data, build predictive models and present my results in a professional fashion to the rest of my class. For my final project I implemented the research by George Molher on Predicting Crime Propagation using Self-Exciting Point Processes.