Skill set
Amer in a few words
I am a Google Cloud Certified Professional Machine Learning Engineer and Data Scientist with a strong foundation in AI, Machine Learning, and Deep Learning, complemented by a Master’s degree in Statistics. My expertise spans predictive analytics, MLOps, and end-to-end model deployment, enabling businesses to extract valuable insights and drive data-driven decision-making.
With hands-on experience in Natural Language Processing (NLP), Computer Vision, and scalable AI solutions, I specialize in building and deploying production-ready ML models across industries such as e-commerce, healthcare, and academia. I work extensively with Python, R, and SQL, leveraging cloud platforms like Google Cloud (GCP), AWS, and Azure to optimize and scale AI solutions.
Experience
- FreelanceData ScientistJanuary 2020 - Today (5 years and 4 months)• Developed & deployed advanced AI/ML models for predictive analytics, NLP, and image recognition, improving client decision-making by 30%.• Built and optimized deep learning models (TensorFlow, PyTorch) for computer vision tasks (object detection, segmentation, video analytics), reducing manual effort by 40%.• Led end-to-end ML pipeline deployment (GCP, Azure) for 5+ projects, ensuring scalable and production-ready solutions.• Provided data science consultation services for multiple clients, completing 10+ formal consultation contracts and numerous project-based consultations.• Delivered data science training and workshops for various companies, enhancing technical and non-technical teams capabilities and data-driven decision-making processes.
- Egyptian Russian UniversityData Scientist and Lecturer AssistantAugust 2021 - September 2024 (3 years and 1 month)Cairo, Cairo Governorate, Egypt• Developed predictive models for student performance, retention, and graduate employment outcomes using Python (scikit learn, XGBoost) and SQL, leading to a 15% improvement in student retention rates.• Optimized curriculum and schedule allocation through data-driven analysis, leveraging statistical methods and tools like R and Power BI for visualization.• Managed university operations data, including resource allocation, sustainability metrics, and mental health tracking, using Python and cloud platforms (Azure, GCP).• Applied natural language processing techniques (NLTK, spaCy) to analyze academic texts, enhancing faculty research output and improving alumni engagement strategies by 20%.• Taught data science courses covering data processing (Pandas), machine learning models (scikit-learn, TensorFlow), data visualization (Matplotlib, Seaborn), and deployment and reporting (Flask, Streamlit, Shiny).• Supervised data science graduation projects focused on computer vision (YOLO, OpenCV, CNN), natural language processing (RNN ,Transformers, Hugging Face), time series analysis (Prophet, LSTM), and structured data models.
Recommendations
Education
- Master of ScienceFaculty of Graduate Studies for Statistical Research, Cairo University2023Master of Science in Statistics.
- Bachelor of Applied Statistics,Faculty of commerce and business administration, Helwan university2018Bachelor of Applied Statistics,