Romain Dagorne

I have 3 years of experience in Data Science. I enjoy working in a team, communicating in different languages and working on real-life problems with a data approach.

November 2021 - November 2022 :

Data Analyst & Engineering - Esportal - Stockholm

● Develop and maintain dashboard infrastructures on Tableau.

● Working with product, marketing and sales on various data issues and providing them with

different recommendations based on the analysis and interpretation of their problem.

● Creating workflows with Tableau Prep, updating tools to maximize their performance and

value.

● Development of scripts with DBT for data integration and monitoring application

● Identify new opportunities for improvement with web scraping data

● Develop new API services with Python

April 2021 - October 2021

End of study internship 3rd year - Risk Data Scientist - Bambora - Stockholm

● 1 - Implementation of a BOT to control and monitoring merchants (main)

o Using Web scraping to create a portfolio of merchant

o Creation of NLP algorithm to classify the brand risk merchant

● 2 - Collaborate with the Underwriting & Risk Monitoring team by providing analysis on the portfolio (minor)

January 2021 - April 2021

Data Consultant - Sturgeon - Saint-Fort-Sur-Gironde

Subject: Study on the yield and performance of sturgeon and berry in caviar production under different farming methods. 

Application internship 2nd year - Data Scientist - Onogone - Paris

● Subject: NLP course - Setting up a machine learning solution on resumes :

o Build a tool that can classify the best resume according the job advertisement

Front-end developer for the World Health Organization, Universidad Politécnica de Cataluña, Barcelona, Spain

● Subject : Development of new application modules on the medical platform DHIS2

2018 - 2021

Master of Science in Statistics - Diplôme d’ingénieur - ENSAI – National School for Statistics and Data Analysis, Rennes, France (Ecole Nationale de la Statistique et de l’Analyse de l’Information)

• Specialisation: Statistics and Data Engineering

2017 - 2018

Associate’s degree in Statistics and Computer Science - University of Poitiers, France

 (DUT STID - Diplôme Universitaire Technologique en Statistique et Informatique Décisionnelle)