Description

LinkedIn: Portfolio:

My expertise is split into two categories:

1 - Data Science and Machine Learning.

2 - SEO, SEM and Ecommerce management (using Shopify platform).

I work in three languages – French, English and Arabic

In the first category I am an expert in the following:

• Python.

• Supervised and unsupervised learning.

• Regression and classification Models.

• Deep Learning Models.

• Artificial Intelligence (A.I).

• Exploratory Data Analysis.

• Data Engineering.

• Object, motion, and face Detection.

• Natural Language Processing (NLP) and sentiment analysis.

• Text generation.

• AWS Sagemaker, RDS, EMR, etc.

In the second category I am an expert in the following:

• Creating, designing, and managing ecommerce websites (Shopify, Wordpress, Squarespace, etc.).

• Create workshops for employees on how to best optimize their Shopify ecommerce processes. Including relevant Excel tips.

• SEM, SEO and SEA. (My plan helps you get top first page from your brand-specific keywords and compete with top brands on generic keywords).

• Analytics, Adwords, Facebook ads, Firbase, Digital Marketing.

• API systems.

• Drop shipping.

• Multi-channel and marketplace integration.

• User Acquisition.

Languages

English
Native or bilingual
French
Fluent
Arabic
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Lambda School
DATA SCIENCE TEAM LEAD – REMOTE - PART TIME
TECH
July 2019 - March 2020 (9 months)
San Francisco, United States
• Explain Machine Learning concepts and models to around 10 students, give out daily code reviews and debugging support.
• Manage multiple cross-cohort build weeks with the students.
• Iterate and optimize processes with Section Leads.
Center for Advanced Defense Studies
MACHINE LEARNING CONSULTANT - COUNTER PROLIFERATION CELL
CONSULTING AND AUDITS
September 2019 - March 2020 (7 months)
Washington D.C., United States
Consult on this project:
• Run a pilot for the implementation of an ML model that can correctly identify companies taking part in the Nuclear Fuel Cycle.
• Successfully co-authored a research paper that studies the methods of applying ML in order to identify Positive Unlabeled data in an imbalanced set.
• Dealt with big data containing ~100 million observations and 177 features using Dask and PySpark. Integrated AWS EMR, RDB, and Sagemaker. Implemented productivity tools such as Trello and Notion.
Time and Diamonds
Digital Project Manager
E-COMMERCE
November 2017 - May 2019 (1 year and 7 months)
Paris, France
• Planned and implemented the digital marketing strategy for a company with 23 million euros turnover, resulting in a ~35% increase in overall sales.
• Effectively implemented a Search Engine Marketing strategy, breaking into Google’s top page with an average 4th position for target generic keywords and 1st position for all brand keywords. Outperforming direct competition within 5 months - resulting in a ~700k free search impressions with a 7.6% click through rate for the boutique brand Clueless.
• Successfully create alternative revenue streams. Set-up omni digital sales channels via European marketplaces. Used data tools to lead paid advertisements, decrease user-acquisition cost and, optimize purchase funnels and UX.
• Played an integral role in the company’s transformation from B2B to B2C, on both a digital and operational level