
Amine El Faiz
Verified Expert in Engineering
Data Science Developer
Rabat, Rabat-Sale-Zemmour-Zaer, Morocco
Toptal member since March 7, 2022
Amine is a highly skilled data scientist and AI engineer with over seven years of experience driving impactful business outcomes through AI and machine learning (ML). With a proven track record across different sectors, he has developed and deployed predictive algorithms and AI systems that enhance customer engagement, optimize processes, and increase revenue. Amine is proficient at learning new skills and loves to work on challenging projects that create value.
Portfolio
Experience
- Data Science - 6 years
- Python - 6 years
- Machine Learning - 6 years
- Pandas - 5 years
- Statistics - 5 years
- Deep Learning - 4 years
- Natural Language Processing (NLP) - 3 years
- AI Agents - 2 years
Preferred Environment
Jupyter Notebook, Python, Machine Learning, Data Science, Amazon Web Services (AWS), Google Cloud Platform (GCP), Git, Artificial Intelligence (AI)
The most amazing...
...experience I've had was working with international consultants and customer service teams to increase the bank's revenue generated from personal loans by 27%.
Work Experience
Data Scientist/Engineer
Ship Angel, Inc.
- Built AI agents and RAG systems that are connected to multiple sources of information related to shipping and can answer clients' questions from those sources.
- Automated the process of extraction rates, surcharges, and all information related to shipping costs from different file types (Excel, PDFs, etc.) using AI, AWS, Python, and OCR. The pipeline reduces manual processing by 50%.
- Developed MLOps pipelines using Sagemaker to automate the training and inference of ML and NLP models.
Data Science & AI Expert | Real Estate Solution
Legacy South Builders, LLC
- Developed an automated workflow that replaced the manager’s manual task of monitoring construction schedules by detecting discrepancies and gathering delay reasons through AI, resulting in faster reviews and more reliable project tracking.
- Deployed an AI-driven voice agent that contacted workers directly, collected explanations for schedule delays, and fed their responses back into project schedules for real-time updates.
- Delivered and deployed the first version of the solution in under five weeks, providing immediate business value by reducing delays, improving data accuracy, and streamlining communication between managers and field teams.
AI Engineer
Artefact
- Developed a generative AI agent on Google Cloud Platform (GCP), utilizing retrieval-augmented generation (RAG) to answer customer inquiries from the client website as well as from additional resources like documents and FAQs.
- Built a large language model (LLM) evaluation pipeline for hyperparameter tuning and a monitoring system to ensure continuous, accurate performance of the chatbot responses.
- Achieved a 30% reduction in customer handovers to human assistance, enhancing customer satisfaction and operational efficiency.
Senior Data Scientist
Forbes LLC - Main
- Developed ML algorithms that accurately forecast the churn behavior of Forbes subscribers, leveraging a comprehensive dataset encompassing subscription details and browsing activity, such as session timestamps, time on page, and additional metrics.
- Designed machine learning models that predict the anticipated advertising revenue generated from publishing a specific article on the Forbes platform.
- Performed in-depth analysis to identify the most important features influencing model predictions, leading to better insights and driving business growth.
Data Scientist
INWI
- Developed machine learning models to predict the churn of prepaid clients trained on historical data such as recharges, internet consumption, and incoming and outgoing calls.
- Clustered prepaid clients into business segments for model evaluation and better customer retention campaigns.
- Estimated the potential return of investment from predictive models.
Data Scientist
Banque Centrale Populaire
- Developed machine learning models that predict potential clients needing mortgage and personal loans in the future.
- Tested ML algorithms in the market and estimated the potential return of investment from the results.
- Deployed solutions into production and automated the process of training models and scoring clients.
- Developed a chatbot that can answer all customers' questions related to mortgages and help them calculate their monthly payments.
- Programmed an optical character recognition algorithm that extracts text from ID card images (name, date of birth, address, etc).
- Collaborated with an international consulting firm to create a data-driven culture through presentations and peer-to-peer learning.
- Led the interview process of recruiting data scientists and managed the data science team.
Experience
Prepaid Churn Prediction
• Data analysis (recharges, internet consumption, calls, etc.) to characterize churners versus active clients.
• Formulation of a machine learning problem that solves the underlying business issue.
• Data preparation and feature engineering.
• Model building and evaluation with clear business metrics.
• Error analysis to enhance model performance.
• Model interpretation to understand client churn reasons.
The model was ten times better at detecting churners than random selection. To retain clients, targeted offers were sent based on purchase history and were able to reduce the number of churners by 20%.
Client Loan Prediction
• Data definition, extraction, and storage in PostgreSQL tables (static data, transactions, products, loans, etc).
• Model building and market evaluation using A/B testing.
• Model deployment and automation of training and scoring pipelines.
• Estimation of expected annual revenue from the predictive model.
Chatbot
Education
Engineer's Degree in Industrial Engineering
Mohammadia School of Engineering - Rabat, Morocco
Higher School Preparatory Classes in Mathematics and Physics
CPGE Mohammed V - Casablanca, Morocco
Certifications
AWS Cloud Practitioner Essentials
Coursera
Deep Learning Specialization
DeepLearning.AI
Skills
Libraries/APIs
Scikit-learn, Pandas, XGBoost, Natural Language Toolkit (NLTK), NumPy, Keras, OpenCV, TensorFlow, Shapely, PaddleOCR
Tools
Jupyter, Git, Claude, Plotly, Seaborn, Gensim, LayoutLM, Named-entity Recognition (NER), Tableau, Dialogflow, n8n, Retell AI, Smartsheet, Microsoft Excel
Languages
SQL, Python, Arabic
Platforms
Jupyter Notebook, Google Cloud Platform (GCP), Docker, Amazon EC2, AWS IoT, Amazon Web Services (AWS), Vertex AI, AWS Lambda
Storage
Google Cloud, PostgreSQL, Data Lakes, Redshift
Frameworks
LangGraph
Paradigms
Agile, ETL
Other
Machine Learning, Data Science, Programming, Critical Thinking, Communication, Deep Learning, Natural Language Processing (NLP), Supervised Machine Learning, Artificial Intelligence (AI), Code Review, Task Analysis, Technical Hiring, Classification, Data Analysis, Predictive Modeling, Large Language Models (LLMs), Product Management, Retrieval-augmented Generation (RAG), Mathematics, Computer Science, Statistics, Optimization, Tesseract, Word2Vec, fastText, Genetic Algorithms, Optical Character Recognition (OCR), Interviewing, Generative Pre-trained Transformers (GPT), Text Classification, PDF Scraping, Language Models, LangChain, Hugging Face, Data Analytics, Data Visualization, Vertex, Google Cloud Machine Learning, Real Estate, Computer Vision, Team Leadership, Google BigQuery, Data Manipulation, Analytics, Time Series Analysis, Leadership, OpenAI GPT-4 API, Chatbots, Google Cloud Functions, Vector Databases, Training, Training Workshops, AI Agents, Software Architecture, A/B Testing, Presentations, Scraping, Text Categorization, Random Forests, Convolutional Neural Networks (CNNs), Logistic Regression, FastAPI, Linear Regression, Fine-tuning, Prompt Engineering, Label Studio, Finance, Trend Analysis, Layout Parser, Detectron2, APIs
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