Samah Yeager
Data Scientist & Software Engineer
I am a software engineer with cutting-edge R&D experience in complex systems modeling, multi-agent intelligent systems, and real-time data analysis. With a lifelong passion for mathematics, pure and applied, I am always searching for challenging new problems to solve.
- samah@samahyeager.com
- Website
- https://samahyeager.com
- samahyeager
- Telegram
- samahyeager
Experience
– present
Full-Time Parent at Career Break
Time off to immigrate to the United States from Morocco and care for my first child.
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Data Scientist (Contract) at Hubpay
Joined as one of the earliest members of Hubpay’s data science team. As the first independently regulated FinTech in the UAE licensed to do cross-border and local payments, our work focused on applying data science to make remittances more inclusive in emerging markets.
Highlights
- Developed customer segmentation generator in Python for personalized marketing to meet user growth targets.
- Translated business requirements from various departments into unified technical specifications, resulting in stronger user stories and user experience.
- Communicated key findings to non-technical teams using advanced Seaborn data visualization woven into strong business narratives and slides.
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Founder at Womanescence
Founded a FashionTech startup built to deliver truly custom-made, perfect-fit clothing to fashion enthusiasts on any device, anywhere—your dream garment designed in under a minute. Recruited team, raised seed capital, and built MVP.
Highlights
- Created two-fold recommendation system: in-house designed AI algorithm that progressively learns each user's fashion taste by garment; and a stylist-driven personalized recommendation system for each garment's individual features.
- Designed and created a data-driven collection of 3D garments, developed plugin that has generated proof-of-concept 3D collections of over 170,000 possible garments.
- Shipped MVP apps for desktop and mobile.
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Graduate R&D Intern at Information & Communication Technologies Lab, International University of Rabat
Conducted quantitative, data-driven analysis of the influence of emotions on driving behavior in various traffic conditions for development of an Advanced Driver-Assistance Systems (ADAS).
Highlights
- Trained and tested two CNN models on facial expression recognition and heart rate variability mapping, and completed the analysis with a real-time driving behaviour scoring.
- Automatically detected drivers' emotions in real-time to prevent risky and aggressive behaviour and assist safe driving.
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Graduating R&D Intern at RATP Group
Designed multi-agent deep reinforcement learning system for demand-dependant traffic management and real-time regulation on an automatic metro line. Developed a railway traffic management algorithm that operates on two levels: the a priori optimal management of supply based on daily estimation of the demand; and the optimal regulation in real-time of rail traffic according to live information using multi-agent deep reinforcement learning.
Highlights
- Introduced first AI solution for driverless train control to company's traffic control department.
- Implemented a selective, agent-specific control system which produced a 450% improvement in demand satisfaction.
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R&D Intern at Yazaki Group
Helped Continuous Improvement team shift from a manual, spreadsheet-based approach to an automated and optimized scheduling solution for the manufacturing order of automotive parts.
Highlights
- Developed an original mathematical model for a machinery tools minimization problem, then solved the mathematical problem with a multi-agent reinforcement learning algorithm.
- Found optimal equipment setup for a standard order, making manufacturing of the batch 17% faster with 21% less manual interventions.
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Intern at APM Terminals
Designed and developed an Access Control Management API for the Tangier operation of a multinational shipping service network using Oracle Database.
Volunteer
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Founder at Club Vintage at ENSIAS
The club’s ongoing mission is to nurture computer science students’ appreciation for computer technology by looking back at how it began and all the giant steps, failures and successes it took to become what it is today. We organized webinars, keynotes, and salons to widen eyes and minds in awe of the journey of tech’s evolution.
Highlights
Education
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Preparatory classes in maths, physics, and engineering sciences in Mathematics & Physics from Ibn Ghazi with MP* advanced placement
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Masters of Engineering in Computer Science from High National School for Computer Science and Systems Analysis (ENSIAS) with Magna Cum Laude
Courses
- Developed gravitational research algorithm for airline crew scheduling in Python.
- Designed and developed hybridization of genetic algorithm and simulated annealing algorithm for optimization of continuous casting scheduling problem in Matlab.
- Conducted time series prediction using variants of DNN and SVR algorithms in Python.
- Design and Development of a binary Branch & Bound API in Python.
- Solved numerous Quadratic Programming and Mixed Integer Programming supply chain problems using CPLEX.
- Developed business intelligence dashboards driven by multi-modal data mining in QlikView.
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Professional Certificate in Machine Learning from Standford University, School of Engineering with Completion
References
Samah has demonstrated a remarkable dedication to the projects she has undertaken and a passion for optimization and artificial intelligence. In these areas, she has carried out projects which quality testifies to her rigor, her autonomy and her capability to solve complex problems and to produce high quality data science work.
Languages
- English
- Fluency: 5/5
- French
- Fluency: 5/5
- Spanish
- Fluency: 3/5
- Arabic
- Fluency: 5/5
Skills
- Applied Mathematics
- Keywords:
- Data Science
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- Languages & Tools
- Keywords:
- Industry-Specific
- Keywords:
- User Experience
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