Wady Bensalah, Senior Data Scientist & Machine Learning Engineer

Check out Wady's expertise

Experienced Multilingual Quant / Data Scientist with a strong business acumen and a demonstrated ability to model and build high impact engineering solutions and products.

I help companies leverage their data for business success and deliver bespoke solutions using data analytics, data visualisation, machine learning and deep learning.

I tackle complex problems with an open minded and work towards solving them through research, process modeling and drivers understanding. Integrity and intellectual honesty are my core values and it didn't stop me from being creative and sharpening my critical and “out-of-the-box” thinking.

Throughout my career, I have perfected my expertise in finding insightful patterns in data using machine learning, deep learning or more fundamental analytical techniques and concisely communicate their values to help with decision-making.

Criteo

R&D Data Scientist, AI Lab

E-COMMERCE

June 2020 - Today (4 years and 6 months)

Paris, France

Mainly working on developing new product features, conducting extensive analytics and improving user experience.

• Optimized machine learning models with the help of feature engineering techniques, offline tests, AB-tests and the

definition of suitable metrics that are better aligned with clients' needs.

• Collaborated on several Machine Learning projects with other teams being exposed to advanced research topics.

Data science Machine learning Python Data Analysis Spark NLP AWS

Confidential

Senior Data Scientist

E-COMMERCE

September 2022 - Today (2 years and 3 months)

Full stack Senior Data Scientist

SESAMm SAS

Quantitative Analyst / Data Scientist

BANKING & INSURANCE

November 2018 - June 2020 (1 year and 7 months)

Paris, France

Quant trading research projects for Buy side & Tier1 investment banks. (Systematic strategies, alternative data)

• Constructed trading signals using ML + Financial data + Sentiment Analysis (Equities and Indices).

• Researched new factors to incorporate in a selection framework for building Long/Short equities portfolio.

• Extracted information from a set of alternative datasets for a discretionary fund to use in a stocks ranking system.

• Developed libraries of advanced statistical tools (Python, Spark, Tensorflow) to apply AI techniques in quant trading.

• Prospected institutional investors and successfully expanded the client base in collaboration with the sales department.

Data science Machine learning Deep Learning Sales Python Spark Docker Kibana Gitlab

Check out Wady's experience

Master of Science in « Random Modeling and Quantitative Finance» (DEA Laure Elie)

ENSAE/CentraleSupelec/Paris7

2018

Top French International Master's program (Taught in English) in Quantitative Finance and Data Science.)

Diplôme de Grande Ecole with Major in Applied Mathematics and Data Science

Ecole Centrale Lille

2017

Engineering and management

Diplôme d'ingénieur Polytechnicien

Ecole Polytechnique de Tunisie

2017

Applied mathematics, economics, physics, engineering technology..

Associate degree in Mathematics and Physics

Lycé Montlfeury Tunis

2013

French prépa (MP/MP*)