Youssef Adel Mansour
Data Scientist (Marketing Science)
Cairo, Egypt · UTC+2 (Africa/Cairo) · 3 years of experience
Youssef focuses on turning messy data into tested models and useful decisions.
Request a shortlistWhy this profile fits
Decision-first problem framing
Starts with the decision, target metric, and data limits before choosing a model or analytical method.
Validated modeling
Uses holdouts, experiment design, and error analysis to separate a useful signal from a convincing notebook.
Clear operational handoff
Documents assumptions, monitoring needs, and the path from analysis to a decision or production workflow.
Relevant toolkit
PythonSQL
scikit-learn
PyTorch
dbtDelivery evidence
Selected work
Bayesian Marketing Mix Model
Consumer goods brand (MENA)Built a Bayesian marketing mix model in PyMC with adstock and diminishing-returns saturation curves to attribute revenue across 6 paid channels and 40 SKUs. Delivered channel-level ROI and response curves that guided quarterly budget reallocation and cut attribution error from 22% to 9%.
Price Elasticity & Promotion Optimizer
E-commerce marketplaceEstimated own-price and cross-price elasticities using log-log regression and hierarchical models on two years of transaction data. The resulting promotion optimizer recommended discount depths per category and reduced margin erosion on promoted SKUs by an estimated 8%.
Relevant experience
Career timeline
Data Scientist (Marketing Science)
Sep 2024–PresentDevlyn Client Engagements (Remote Bench) · Remote (Cairo, Egypt)
- Delivered marketing mix and price elasticity models for consumer goods and e-commerce clients, cutting spend-attribution error from 22% to 9% on the flagship FMCG engagement.
Junior Data Scientist
Jun 2023–Aug 2024Regional E-Commerce Marketplace · Cairo, Egypt
- Estimated own-price and cross-price elasticities on two years of transaction data, informing category discount depths that protected margin during peak-sale events.
Data Analyst
Jul 2022–May 2023Consumer Insights Agency · Cairo, Egypt
- Wrote SQL and pandas pipelines to consolidate campaign, sales, and survey data for 8 consumer brands into a single analysis-ready dataset.
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Skill depth
Show experience in context.
Relevant experience by skill
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Languages
Frameworks
Libraries/APIs
Tools
Paradigms
Platforms
Storage
Other
Education
Formal background
BSc, Statistics (minor in Computer Science)
Cairo University · 2018–2022 · Graduated with honors, GPA 3.6/4.0
Credentials
Certifications
AWS Certified Machine Learning Engineer – Associate
Amazon Web Services · 2023 · Certified
Communication
Languages
Arabic
Native
English
Fluent
French
Conversational
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