Sacha D.

Data Scientist

625 dollar

My experience


ZenlyJanuary 2019 - April 2019

Zenly is a geolocalised social network. The industry is a french unicorn recently acquired by Snapchat

As a freelancer at Zenly I mainly worked with Python (and Keras) and with Spark. My main tasks have been:

 - Setup a vertical move prediction algorithm using mobile phones sensor datas. Also working on POI detection. Spark

 - Implementation of a transport mode detection algorithm (bus, train, bike, walk, run) using mobile sensors data. Python + Keras. Implementation of an Android app to challenge the results.

- Implementation of a dataviz library for intern purposes. Python.


MWMJanuary 2017 - January 2019

*␣ Implementation of a user segmentation system used to characterize users for ad targeting campaigns using
users' apps, users' musical profile and users' social media habits. The system runs and updates automatically with PySpark remotely on Google Cloud Servers.

*␣ Implementation of an Audio source separator using Convolutional Neural Network in order to separate audio instruments from mixed raw audio data with Keras + Tensorflow + Docker + GCP

*␣ Implementation of a drum transcription algorithm which takes in input raw drum audio signal and transcribe it into a midi partition. Using LSTM neural networks + Docker

*␣ Optical Music Recognition (OMR) to transcribe a picture of a music sheet into MIDI using Tensorflow object detection API

*␣ Apple Store clustering using NLP and clusters' trend prediction with Time Series. Python + Flask + GCP

Czech Ministry of TransportJanuary 2017 - November 2017

*  Automatisation of reportings and dashboards in order to visualize traffic among Czech railways. With R software using shiny and plotly.

OguryFebruary 2016 - August 2016

Ogury is a mobile ad targeting company

Data Science Intern.
- Implementation of a mobile application recommendation algorithm for ad targeting
based on users’ apps, users’ internet history. The system does better than human targeting. Spark

My stack


Engineer, Data Scientist, R, industry~science, Python Programming, neural networks + Docker, Informatics; Mathematics, Mathematics; applied Statistics


Social Media, Data analysis, Marketing, Mentoring, Data Science

IT Infrastructure

Docker, Google Cloud Platform (GCP)


R Language, Bash, Scala, SQL, Python

Application servers


Big Data

Big Data, Spark


AWS, Shiny, Machine Learning

Machine Learning

Deep learning, Neural networks, Keras

My education and trainings

Mathematics, applied Statistics - School Télécom2013 - 2017

- Studies in Mathematics and Applied Statistics - Télécom SudParis College.2013 - 2016

- Master's Level Studies in Finance - "Denis Diderot" University (Paris VII).2015 - 2015

- Engineering Preparatory Studies - CPGE Buffon.2010 - 2013