Freelancer profile translated to English.
Back to original languageAbout William
Following a Master's degree in Data Science from EDHEC and the Data Analyst program from Openclassroom, I work in Berlin as an analyst for data collected from a carrier selection algorithm for an American e-commerce company (Wayfair).
I also had the opportunity to work on text analysis (NLP). I completed a thesis on unsupervised analysis of the official French legal databases, LégiFrance. The subject involved collecting raw data, normalizing/cleaning it to extract trend topics (topic modeling) for example.
I am currently complementing my analyst training with front-end and back-end development by creating applications in Node.js, such as a weather website using third-party APIs.
Thus, I can help you with issues such as:
- Database analysis (SQL and NoSQL)
- Development of predictive models (machine learning) using Python or R libraries
- Data visualization (Data viz) using specific libraries (Seaborn – Matplotlib – Ggplot2) and platforms (Tableau – Power Bi)
- Data extraction (scrapping)
French
Native or bilingual
English
Native or bilingual
German
Fluent
Spanish
Conversational
Remote only
Primarily works remotely
Experience
- OpenClassroomsTrainingTECHSeptember 2018 - December 2018 (3 months)Paris, FranceRealization of the following projects in Python:•Descriptive analytics of data from the FAO to understand the core reasons of hunger in the world•Descriptive and statistical analytics of the key data of a company (sales, clients, products)•Analysis of several national markets to determine potential of selling meat. Usage of algorithms for dimensional reduction (PCA) and classification (K-means, HCA).All projects are visible on my github profile https://github.com/WilliamLamazere, skills=[]
- WayfairData AnalystE-COMMERCEJune 2019 - Today (7 years)Berlin, Germany• Analysis of Delivery Services performances - Intern ( 5 months)• Data Analyst on the carrier selection algorithm logs, skills=[]
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Education
- MSc Data Analytics & Artificial IntelligenceEDHEC2019Relevant courses: • Machine Learning • Data Mining • Statistical Learning • Data Visualization • Advanced Web Analytics • Time Series Forecasting TOEIC : 940 out of 990
- Data Analyst track developed in collaboration with ENSEA-ENSAIOpenclassrooms2018Realization of the following projects in Python: •Descriptive analytics of data from the FAO to understand the core reasons of hunger in the world •Descriptive and statistical analytics of the key data of a company (sales, clients, products) •Analysis of several national markets to determine potential of selling meat. Usage of algorithms for dimensional reduction (PCA) and classification (K-means, HCA). All projects are visible on my github profile https://github.com/WilliamLamazere