Learn Data Skills
Beta
Anselme Bryan

Anselme Bryan

Data Scientist / Engineer

Advensys Consulting | Luxembourg

Technologies

My Portfolio Highlights

My New Track

Quantitative Analyst

My New Course

Introduction to Python

My New Track

Quantitative Analyst

Data scientist, turning data chaos into organized knowledge.

My Work

Take a look at my latest work.

course

Introduction to R

course

Introduction to Python

course

Intermediate Python

course

Introduction to R

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to R
Intermediate Python
Intermediate R

My Work Experience

Where I've interned and worked during my career.

Freelance | Sep 2020 - Present

GCP Data Engineer/ Data Scientist

N/A

Aquient | Feb 2020 - Jul 2020

Data Scientist

N/A

Crédit Agricole CIB | Jul 2019 - Jan 2020

Data Scientist

N/A

MASTER DATA SOLUTIONS | Sep 2018 - Mar 2019

Data Scientist / Data Engineer

The mission began with the reconciliation of sales data with the accounting reports (dataprep & bigquery). Then I had to make dashboards to test and view the results (dataprep) and investigate on the origins of the detected errors (dataprep & bigquery), all to verify, correct and validate the analysis of the data team from the E-commerce division of Hermès. Finally on the sidelines of the main mission I first implementated a Kanban to improve on the team communication, then realised a study on the silk square sales (python) and some advanced data processing (python). TASKS: • Implementation of Agile practices (Kanban) • Reconciliation of the financial information from the different data flows • Bug fix and reporting on data exports • Sales data Dashboarding and Comparison of Data Aggregates (Datastudio) • Silk square sales studies & various sales data processing (Python) TECHNICAL ENVIRONMENT: • Python, Biguery, Dataprep & Datastudio (Google Cloud Platform)
Show More

Devoteam G Cloud | Feb 2018 - Jun 2018

Data Scientist & Google Cloud Data Engineer

At DEVOTEAM G CLOUD I worked on 2 main subjects that are Machine Learning in global and the whole Google Cloud Platform stack. In addition to the previous main subjects I’m in charge of exploring chatbot business uses and developing prototypes to present to clients and/or to use in intern TASKS: • Extensive training on the Google Cloud Platform stack • Training on API development and NodeJS • Training on dataflow and design of chatbot for internal uses or prototypes to spotlight to clients • A mission consisting of designing and implementing an algorithm to automatically rate scientific articles about oncology • Optimization & Tuning of the previously mentioned algorithm • Development off a side algorithm to find the misclassified documents in the training dataset TECHNICAL ENVIRONMENT: • Google and ML related: Python and the whole Google Cloud Platform Stack • Chatbot related: Dialogflow, JavaScript (NodeJS), API Creation and Connection

Datategy | Sep 2017 - Jan 2018

Data Scientist

At Datategy I was mostly working in intern and time to time on short term consulting missions. The intern project is a combinations of softwares and applications aiming at facilitating the management of the city (smart city ) , at this stage the product mostly focus on Traffic optimization (car, buses …) TASKS: · Short emergency mission at L'Oréal as a Python developer · Creating and optimizing the database with all the roads in France using the Open Data · Analysis on cities transportation specificities · Design and implementation of a method to estimate the number of parking slot in any cities · Writing of a vulgarization document about Big Data and AI · Analyses of the literature about traffic management and parking spaces TECHNICAL ENVIRONMENT: · Mainly: Python (pandas, SQLAlchemy, scikitlearn, geopy, geopandas, Shapely …. ), osm (open street map), spatial and GPS Data · To a lesser extent: PostgreSQL, research on PostGis and MongoDB, pyQt,Qt

BGFi consulting | May 2017 - Sep 2017

BIG Data Consultant/ Data Cruncher

At BNP Real Estate, my mission consists of improving my client’s data quality by comparing them with data availed on the Internet (Open Data) to update them and fill in the missing ones. The already developed algorithms allow us to qualify and/or complete automatically more than half of the client data. TASKS: · Detecting obsolete data. · Detecting delisted companies · Support during the WannaCry attack · Automatization of the database update using the SIRET identifier. · Matching of the client data with the Open Data to find missing SIRET numbers · Elaboration of a web site model to verify the results from the algorithms TECHNICAL ENVIRONMENT: · Mainly : Python (pandas, regex) · To a lesser extent: MongoDB, MySQL, R (Sparklyr, Dplyr)

Aubay | Mar 2016 - Aug 2016

Junior Data Scientist

Junior Data Scientist Internship Analyses and improvement of the employees and interviewees databases: -Benchmark of Data Analyze tools and Database accessors -Cross-program/language communication techniques research -Data Scientist guidelines and algorithms usages -Audit of the data quality, and report to the higher management -Studies of parameters influencing position proposal by Aubay -Studies of parameters influencing proposition acceptance by candidates Languages and tool used : Python, KNIME, R, MySQL

A*STAR - Agency for Science, Technology and Research | Jul 2015 - Sep 2015

Auditor

Auditor, Internship : Improvement of the Singaporean main birth cohort database quality: • Audit of the database and associated software and proposition of technical improvements • Documentation of the database related tools • Development of a methodology for identifying sustainably erroneous growth data

Prestaweb | Jul 2014 - Sep 2014

Web Developer Internship

Web developer Internship: 2 Web Application realized at Prestaweb an SSII Used Languages: PHP / HTML / CSS / Javascript / MySQL The first application consisted in a form where users could input their dwelling information so that they are able to know their dwelling's insulation performances and an approximation of their heating expenses given the 3CL- DPE French official document. And then make improvements proposition with savings simulation. The second one consisted in managing the customers and their projects while searching if they could benefit from governmental aids (given customer's profiles)

My Education

Take a look at my formal education

ENSIIE - Ecole Nationale Superieure d'Informatique pour l'Industrie
ENSIIE - Ecole Nationale Superieure d'Informatique pour l'Industrie & l'Entreprise, Mathématiques...& l'Entreprise | 2016
Master 2 : AIC (Machine Learning, Information Content), Machine Learning / Big DataUniversité Paris-Saclay | 2016
Study Abroad (MIT classes), AI and Machine LearningJames Cook University | 2015
License 3 de Mathématique, MathématiquesUniversité d'Evry-Val d'Essonne | 2014
CPGE PC, Mathématiques physique et chimieLycée Henri Poincarre, Nancy | 2013

Powered by

  • Work
  • Courses
  • Experience
  • Education
  • Create Your Data Portfolio for Free