Bilel O.

Data Scientist

915 dollar

My experience

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UNOWHYOctober 2021 - Present

- Development of Data Driven solutions via BI and AI in order to steer and supervise the group's activity.
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EPSI - L'école d'ingénierie informatiqueAugust 2021 - October 2021

Data Science Instructor course (Big Data, Machine Deep Learning, AI, BI):

- animation.
- support.
- use cases.
- videos.

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VerticapyApril 2021 - August 2021

- How to develop Telco Attribution Models for marketing Campaigns : https://www.youtube.com/watch?v=XPQ55unde-M&t=1204s
Freelance.
- Credit Card Fraud Detection : https://www.youtube.com/watch?v=UG3n55kJbz8&t=1s
- How to match your anonymized Data : https://www.youtube.com/watch?v=LhNZ855uo84&t=4s


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Bouygues TelecomMarch 2017 - March 2020

- Tesla Project: Conversion Funnel Industrialization (from Targeting to Performance).
- Targeting: Complete automation of the group's flagship marketing campaigns (FTTH, Cross-Sell, Upsell) to target the most profitable customers (SFMC).
- QOD and Features Engineering: Elaboration of a Dataset that givesthe conversion funnel from the targeting to the sales (Teradata).
- Machine Learning: Development of a Decision tree (Random Forest) which assigns conversion to the most crucial campaign (Teradata).
- Data visualization: Development of a reporting library allowing performance monitoring by the business team (Tableau Software).
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Société GénéralJanuary 2014 - March 2016

 - Payment Card Limit Scoring: Full development of a payment card limit scoring for customers.
- Data Preparation (S.A.S) + Machine Learning ANOVA Regression (S.A.S) + Deployment (Teradata) .
- Segmentation: Customer segmentation updating by monetary value, age and type.
- Data Preparation (S.A.S) + Machine Learning MAT Clustering (S.A.S) + Deployment (Teradata).

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BPCEJune 2013 - October 2013

Audit Data: Verify Data quality and integrity when migrating to the new Data-center (S.A.S)
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TF BankJuly 2012 - December 2012

- Score Prospect: Full development of a “risk scoring” for prospect customers evaluation:

- QOD (S.A.S) + Data Preparation (S.A.S) + Machine Learning LOGIT Regression (S.A.S) + Deployment (V.B.A)


My stack

Technologies

Machine Learning

Machine Learning

TensorFlow

Others

Data Science

Languages

Python, SQL

Databases

Teradata, VerticaDB, Oracle, MySQL

Business Intelligence

SAS, Tableau Software

Big Data

Big Data

My education and trainings

Master 2, Data Science - Université Paris 1 Panthéon-Sorbonne2010 - 2012

Licence 3, Data Science - Université Paris 1 Panthéon-Sorbonne2007 - 2010