Oumaima
Bounouadar
Senior Data Scientist & ML Engineer
Transforming complex data into actionable insights with 8+ years of experience. Specialized in machine learning, deep learning, and statistical modeling for Fortune 500 companies and healthcare organizations.
Technology Stack
Comprehensive expertise across the entire data science and machine learning ecosystem, from data engineering to model deployment and everything in between.
Work Experience
8+ years of progressive experience in data science and machine learning, delivering impactful solutions across healthcare, finance, and technology sectors.
Leading a team of 8 data scientists in developing ML models for predictive analytics. Implemented automated ML pipelines that reduced model deployment time by 60%.
Key Achievements:
- Built recommendation system serving 10M+ users daily
- Increased revenue by $15M through predictive pricing models
- Led cross-functional team of 15+ engineers and analysts
- Published 5 research papers in top-tier conferences
Technologies Used:
Managed data science initiatives for healthcare analytics, focusing on patient outcome prediction and treatment optimization.
Key Achievements:
- Developed ML models improving patient diagnosis accuracy by 25%
- Reduced hospital readmission rates by 18% through predictive modeling
- Managed $2M annual budget for data science projects
- Established data governance framework across organization
Technologies Used:
Specialized in developing fraud detection systems and algorithmic trading models for financial services.
Key Achievements:
- Built fraud detection system reducing false positives by 40%
- Developed algorithmic trading models with 15% annual returns
- Implemented real-time ML inference serving 1M+ transactions/day
- Mentored 6 junior data scientists and ML engineers
Technologies Used:
Early-stage startup focused on customer analytics and personalization for e-commerce platforms.
Key Achievements:
- Built customer segmentation models increasing conversion by 30%
- Developed A/B testing framework used across all product teams
- Created data pipeline processing 100GB+ daily
- Established data science best practices and workflows
Technologies Used:
Featured Projects
A selection of impactful data science and machine learning projects that have driven significant business value and technological advancement.
End-to-end ML platform for predicting patient outcomes and optimizing treatment plans. Deployed across 15+ hospitals with 94% accuracy in readmission prediction.
ML-powered fraud detection system processing 1M+ transactions daily with sub-100ms latency. Reduced false positives by 40% while maintaining 99.8% fraud catch rate.
Other Notable Projects
Advanced customer segmentation using unsupervised learning and personalized recommendation system. Increased conversion rates by 35% and customer lifetime value by 28%.
NLP system for automated legal document analysis and contract review. Reduced manual review time by 70% while maintaining 95% accuracy in clause identification.
Deep learning model for automated quality control in manufacturing. Deployed on edge devices with 99.2% defect detection accuracy and 50ms inference time.
Advanced time series forecasting models for supply chain optimization. Improved demand prediction accuracy by 45% and reduced inventory costs by $3M annually.
What Colleagues Say
Testimonials from industry leaders, colleagues, and collaborators who have experienced the impact of working together on transformative data science projects.
"Oumaima is an exceptional data scientist who consistently delivers innovative solutions. Her leadership in developing our recommendation system resulted in a 40% increase in user engagement. She has a rare ability to translate complex technical concepts into actionable business strategies."
"Working with Oumaima was transformative for our healthcare analytics platform. Her expertise in machine learning and deep understanding of healthcare workflows helped us achieve breakthrough results in patient outcome prediction. She's a true thought leader in the field."
"Oumaima's work on our fraud detection system was outstanding. She not only improved our model accuracy by 25% but also mentored our entire team, elevating everyone's skills. Her technical expertise combined with excellent communication makes her invaluable."
"Oumaima joined us at a critical stage and helped establish our entire data science foundation. Her customer segmentation models directly contributed to our Series A funding success. She's both a brilliant scientist and an effective team leader."
"Oumaima's research contributions to our joint publications have been exceptional. Her innovative approaches to deep learning applications in healthcare have advanced the entire field. She's a collaborative researcher with incredible attention to detail."
"The ML models Oumaima developed for our platform exceeded all expectations. Her ability to understand business requirements and translate them into technical solutions is remarkable. She's a strategic thinker who delivers results."
Certifications & Education
Professional certifications, academic achievements, and research publications demonstrating continuous learning and expertise in data science and machine learning.
Professional Certifications
Advanced certification demonstrating expertise in building, training, tuning, and deploying ML models on AWS.
Professional-level certification for designing and building ML models using Google Cloud technologies.
Certification for implementing AI solutions using Azure Cognitive Services and Azure Machine Learning.
Advanced certification for ML engineering and MLOps using the Databricks Lakehouse Platform.
Certification demonstrating proficiency in using TensorFlow to solve deep learning and ML problems.
Professional certification recognizing mastery of the analytics process from problem framing to implementation.
Education
Ph.D. in Computer Science
Dissertation: 'Advanced Deep Learning Architectures for Healthcare Applications'
M.S. in Statistics
Thesis: 'Bayesian Methods for High-Dimensional Data Analysis'
B.S. in Mathematics & Computer Science
Summa Cum Laude, Phi Beta Kappa
Recent Publications
Deep Learning for Predictive Healthcare Analytics
Federated Learning in Financial Services
Explainable AI for Clinical Decision Support
Automated Feature Engineering for Time Series
Let's Connect
I'm always interested in discussing new opportunities, innovative projects, and collaborations in data science and machine learning. Let's explore how we can work together.
Ready to Transform Your Data into Insights?
Whether you're looking to implement machine learning solutions, optimize your data pipeline, or need strategic guidance on your data science initiatives, I'm here to help.