Julien Heiduk

Data scientist, Formateur Machine Learning Python

Remote from Lille

25 project(s)

(5 ratings)

Indicative rate €600 / day
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Location: Lille, France

Remote only: Works remotely most of the time

Project length

≤ 1 week
≤ 1 month
Between 1-3 months
Between 3-6 months
≥ 6 months

Business sector

Travel & Tourism
Wine & spirits
Transportation
Telecommunications
Sports

+46 autres

Company size

1 person
2 - 10 people
11 - 49 people
50 - 249 people
250 - 999 people

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JulienHeiduk

7 Followers
39 Repos
0 Gists

Data Scientist

BigData
Big Data

Beginner Intermediate Advanced
Data Science
Machine learning

Beginner Intermediate Advanced
Deep Learning

Beginner Intermediate Advanced

NLP

Beginner Intermediate Advanced
TensorFlow

Beginner Intermediate Advanced
Data visualisation

Beginner Intermediate Advanced
Pandas

Beginner Intermediate Advanced
Keras

Beginner Intermediate Advanced

Co-fondateur de Labs On Mars, l'agence Data Science appliquée au SEO, SEA & Marketing.

Nous aidons nos clients à tirer profit des données et de l’intelligence artificielle pour ajouter de l’automatisation et de la prédiction à leur stratégie de référencement naturel (SEO) et payant (SEA). Comment ? À travers une offre de coaching en data science et de développement d’outils sur-mesure.

Je propose 3 formations dispensées en distanciel ou en présentiel:
- Data analyst - Python & Data Analysis
- Data Scientist - Machine Learning en Python
- Deep Learning - TensorFlow & PyTorch en Python

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Portfolio only available to registered users

Formateur Machine Learning

December 2017 - Today

Portfolio:
- MAIF
- CNRS (Marseille)
- CEA (Plus grand centre de recherche et développement en Europe sur l'énergie nucléaire)
- Boomerang Consulting
- BC Training
- STMicroelectronics
- EPSI (Lille & Bordeaux)

Labs On Mars

Co-founder - NLP Data Scientist

Lille, France

October 2019 - Today

Labs on Mars provides Data Science consulting services and custom tools development, applied to search engine optimization (SEO)

https://labsonmars.com/

OpenClassrooms - Openclassrooms

Formateur Data Scientist & Machine Learning Engineer

Lille, France

June 2019 - Today

I help aspiring Data Scientist & Machine Learning Engineer to achieve their goal !

Jagger-lewis

Senior Data Scientist

Tourcoing, France

August 2018 - May 2019

OVH - OVH

Data Scientist

Roubaix, France

December 2016 - August 2018

I focused on the implementation of a recommender system (Products approach), Association Rules, scoring (of interest) and segmentations with the objective of developing the CRM.

I have implemented the time series forecasting with RNN with the aim of predicting the activity at the call center to scale the teams. I have also contributed to the implementation of a Proof Of Concept about the speech to text based on the algorithm WaveNet (DeepMind). I was able to use NLP’s algorithms in order to explore and to do an analysis of the surveys data.

About the tech I use: Pyspark, Hive, Dataiku,Tensorflow and Python

OpenClassrooms - Openclassrooms

Mentor Data Scientist

Lille, France

March 2017 - November 2017

Mentoring of students on the Central Supelec Data Scientist Course. Through projects about Machine Learning , DeepLearning, Recommander System and technological survey.

Freelance

Data Scientist

Lille, France

February 2017 - June 2018

Consulting Data Scientist - Jagger & Lewis
May 2018 - August 2018
- Set up Machine Learning & Deep Learning models to improve the quality of the solution

Mentor Data Scientist - Self Employed
May 2018 - June 2018

Trainer at Quantmetry, Data Science Consulting
December 2017
3 training days about the Machine Learning with Python and Big Data with Pyspark:
- Algorithm of Machine Learning (Classification - Regression - Clustering)
- Use cases (Risk Prediction)
- Good practices (Exploratory Data Analysis)
- Hadoop - Spark - Churn Prediction with Pyspark (MLlib)

Data Scientist at Pitchr
March 2017 – November 2017
Implementation of an recommender system - Collaborative Filtering Approach - to sort smarter the people around the Pitchr's users. The goal was to sort a list of people caracterized by theirs professional skills in order to increase the number of connections between the users.

Sopra Steria - SOPRA STERIA

Statistics Engineer

Lille, France

January 2015 - December 2016

COFIDIS - CRM Analytics (January 2016 à December 2017)
- Implementation of the Data Management Platform

CREDIT AGRICOLE NDF - CRM Analytics (January 2015-January 2016)
- Data Muggling with the platform Cloudera (Hive, Spark...)
- Implementation of ML's algorithm

Créatis - Groupe Cofidis

Chargé d'études statistiques

Lille, France

December 2012 - May 2014

- Reporting to monitor the activity
- Production of KPI to pilot the activity
- Setting up the calculation of bonuses for employees

Seton - Group Brady Corp.

Chargé d'études Marketing

March 2012 - September 2012

- Implementation of Reactivation's score
- Monitoring of Key account
- Rewriting SPSS programs in SAS
- Optimization

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Julien Heiduk

Data scientist, Formateur Machine Learning Python

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