Freelancer profile translated to English.

Description

Holder of a Master's in Data Sciences (Ecole Polytechnique) and a Master's in Business and Entrepreneurship (UC Berkeley), I wish to leverage my multiple professional experiences to support companies of all sizes in implementing data analysis tools, from the design of "proof-of-concept" to the design of "large-scale applications".

Furthermore, my mastery of Scrum and Lean Startup methodologies makes me the ideal partner to help you bring your projects to completion.

Open to short, medium, or long-term collaborations with agencies and IT consulting firms.

Business Expertise:

- Digital Advertising (AdTech)

- Investment

- Digital Marketing

- Entrepreneurship

- Investment in Africa (West Africa)

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Can work on-site

Paris 4e Arrondissement (up to 50km), Paris (up to 60km)

janngo
Fullstack Data Scientist
E-COMMERCE
February 2019 - Today (7 years and 4 months)
Paris, France
Founded in 2018, Janngo is the first "social startup studio in Africa" with the mission to support African SMEs through SaaS.

In direct collaboration with the CTO, I was responsible for establishing and implementing the company's "data" strategy.

Main tasks:
- Development of the company's "data" strategy and establishment of partnerships with external companies.
- Implementation of a data lake using Google BigQuery & Google AppScripts
- Creation of automated reports for business teams: BigQuery, Google AppScripts & Google Analytics
- Execution of POCs and market validation: Django, React, TensorFlow, Fast.ai
- Web development: Kotlin, React, Firebase, Spring Boot
Big Query Google Cloud Google Analytics Django React.js TensorFlow fast.ai Kotlin Firebase Spring Boot
Keymantics
Data Scientist
SOFTWARE PUBLISHING
March 2017 - January 2019 (1 year and 11 months)
Paris, France
Founded in 2017, Keymantics is the first platform for targeting by "keywords" in display advertising (RTB).

My role consisted of implementing and deploying artificial intelligence models and the infrastructure for their automation, monitoring, and auditing.

Some tasks performed:
- Implementation of the company's data science platform enabling automated training and daily production deployment of about ten machine learning models (Spark, AWS EMR, AWS SageMaker, H2O)
- Deployment of low-latency models: 10^4 requests per second, ~1 microsecond latency (MLeap, Scala, Vertx)
- Creation of a data warehouse for storing and analyzing over 100GB of logs per week (AWS S3, AWS Athena, Elastic Search, Tableau)

Some problems solved (machine learning):
- Click-through rate prediction
- Web content extraction (Named Entity Recognition)
- Keyword suggestion
- Document classification and recommendation
TensorFlow PyTorch Spark Hadoop Airflow Amazon Web Services NLP Amazon Redshift Scala EMR SageMaker MXNet H2O MLeap

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Master of Science in Data Science
Ecole Polytechnique, Palaiseau, France
2017
Master of Business & Entrepreneurship
UC Berkeley, Berkeley, USA
2017

Fabrice Zapfack

Senior Data Scientist

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