Alexandria, Egypt
Hi, I'm Fady — a Senior Data Scientist, Technical Mentor, and lifelong learner with a passion for building impactful AI solutions and growing talent in tech. I currently work for **Jendi.ai**, a UK-based company integrating machine learning with biomedical data to enhance wellness. With a strong academic background (Postgraduate Diploma in Computer Science, GPA 4.0) and more than 8 years' professional experience, my journey spans real-world data science for Egypt’s Ministry of Health, instructing the next generation of ML engineers at the Arab Academy for Science and Technology, and mentoring global learners in generative AI and deep learning at Udacity. I specialize in Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and end-to-end data workflows. My toolkit features Python (NumPy, PyTorch, TensorFlow, Keras), Amazon SageMaker, and the latest LLMs and vector databases. I thrive at building efficient data pipelines and AI systems—my solutions have cut project timelines from months to days, and made healthcare hiring and analytics faster and more equitable. I’m recognized for publishing technical guides, formula sheets, and peer-reviewed research in ML, as well as creating hands-on learning experiences for thousands of learners. My certifications include **AWS Certified Cloud Practitioner** and multiple Nanodegrees in Machine Learning, Computer Vision, and Generative AI. If you’re interested in AI-driven innovation, actionable insight from data, or elevating talent through education, let’s connect!
Using machine learning to analyze medical biomarker data from wearable devices and suggest insights to improve health and wellness, and Generative AI to generate personalized suggestions.
As a contractor/consultant to educational platforms, such as Udacity, I utilize my specialized knowledge in the fields of machine learning and data science and my strong communication skills to provide mentorship and other student support services. Mentoring students on topics like Large Language Models, OpenAI API, LangChain, Vector Databases, GANs and Diffusion Models, Amazon SageMaker Essentials, Neural Networks, and Convolutional Neural Networks using PyTorch.
As a Senior Data Scientist, I am responsible for spearheading the predictive modeling and machine learning division of the data science department to facilitate growth, revolutionize processes, and streamline our customer experience. Responsibilities: - Analyze complex financial datasets: Analyze the intricate financial datasets to identify patterns, trends, and correlations using statistical techniques and machine learning algorithms. - Develop predictive models and algorithms: Drive the development of advanced predictive models and algorithms to forecast financial outcomes, detect anomalies, and support risk management and decision-making processes. - Conduct exploratory data analysis: conduct exploratory data analysis to uncover valuable insights, generate hypotheses for further investigation, and guide strategic initiatives. - Apply machine learning algorithms: Utilize a wide range of machine learning algorithms, including regression, classification, clustering, and deep learning, to solve complex business problems and enhance fintech applications. - Train, validate, and optimize models: validate, and optimize machine learning models using appropriate techniques, such as cross-validation, hyperparameter tuning, and feature selection. - Collaborate with cross-functional teams: Work closely with software engineers, developers, and stakeholders to implement and deploy machine learning models into production environments, ensuring seamless integration and scalability. - Communicate insights and recommendations: Prepare and deliver comprehensive presentations, reports, and dashboards to convey insights, findings, and recommendations to technical and non-technical audiences, influencing strategic decision-making. - Data preparation and feature engineering: own data cleaning, transformation, and feature engineering techniques to ensure high-quality data for analysis and modeling.
I work for the College of Computing and Information Technology as a part-time Graduate Teaching Assistant. I have been teaching the following subjects : + Advanced Artificial Intelligence (Machine Learning and Deep Learning) + Modeling and Simulation (Discrete Event System Simulation) + Data Structures and Algorithms. + Discrete Mathematics. + Digital Logic Design and Computer Architecture. + Computer Graphics. Key Contributions: - Updating math education with state-of-the-art education technologies using Python and Jupyter ecosystem to explain difficult math subjects and plots. - Using open-source tools for teaching and online education, like whiteboards, interactive plots, computer algebra systems, and graphic design.
- Conducting Data Analysis of Dentists' data applying for new jobs in the Ministry of Health - Alexandria Central Administration. - Managing the Distribution of Job seekers in healthcare facilities in Alexandria based on vacancies, applicant college scores, and dentist preferences using advanced data science techniques. - Generating statistics and plots that summarize the data. - Created an efficient system of data collection and validation. - Successfully improved recruitment and distribution efficiency and time and reduced it from weeks to just a few days (approximately 7-10 fold improvement in efficiency) - Migrated HR employee data from multiple excel sheets to a new web-based manpower application. Used Python to clean, validate, and automate form posting. Data upload took 40 minutes instead of 4 months by traditional manual data entry methods.
- Worked as an IT consultant and administrative assistant in Alexandria Central Dental Administration. - Created an IT infrastructure, efficient electronic document filing and archiving system, automatic backup to the cloud.
- Created dental clinic statistics and reports. - Created human resources schedules and rotation. - Worked as an Information Technology Advisor to the head of the department.