A Computer Science graduate from King Faisal University with a strong foundation in Data Science and Machine Learning. Currently honing my expertise as a Machine Learning Engineer Intern at TAMA TECH, where I specialize in developing end-to-end ML pipelines and sales forecasting models for ERP systems. With a proven track record in leadership as the Vice President of the Educational Content Committee at the AI Pioneers Club, I am passionate about leveraging AI to build innovative FinTech solutions. I combine technical proficiency in Python and predictive modeling with a strategic business mindset, aiming to drive digital transformation through data-driven insights.
Focus: predictive analytics, machine learning, time series forecasting, and computer vision.
Core Competencies:
Related professional tracks studied: Huawei HCIA-AI, CompTIA Data+.
Instructors: Andrei Neagoie and Daniel Bourke
Duration: 44 total hours of intensive training
Completion Date: January 26, 2026
Description:
I have successfully completed a comprehensive 44-hour bootcamp covering the full spectrum of Artificial Intelligence, Machine Learning, and Data Science. This certification validates my proficiency in building end-to-end data-driven solutions, utilizing modern frameworks, and implementing complex algorithms to solve real-world problems.
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Focused on the study and application of Rational Agents, informed search strategies, and programming logic to solve complex computational problems.
Mastered descriptive and inferential statistics, as well as Hypothesis Testing, to transform raw data into actionable business insights and strategic decisions.
Specialized in designing and managing Relational Databases, ensuring high-performance querying, data integrity, and seamless system integration.
Leveraging Python and its specialized ecosystem (Pandas, NumPy, Scikit-learn) for large-scale data processing and the development of Predictive Models.
Understanding data protection principles, digital privacy frameworks, and the ethical management of data flows within modern technical infrastructures.
Built a robust foundation in algorithms, data structures, and the comprehensive Data Analysis Lifecycle.
Context: Developed during a Machine Learning Internship at TAMA TECH.
Core Task: Engineered a predictive model integrated into an ERP system to forecast sales trends.
Impact: Focused on enhancing forecast accuracy to optimize inventory and business decision-making.
Tech Stack: Python, FastAPI, and Pydantic.
Description: Built a production-ready pipeline assigned by my supervisor to handle data from ingestion to model deployment.
Key Features: Used Pydantic for strict data validation and FastAPI to create a high-performance serving layer.
Methodology: Applied various Machine Learning models on synthetic datasets to evaluate performance.
Analysis: Conducted rigorous comparisons between different algorithms (e.g., ARIMA, XGBoost, or LSTMs) and generated detailed performance reports.
Output: Created visual dashboards and data-driven insights to identify the most effective model for specific business scenarios.
Tech Stack: YOLO (You Only Look Once), Computer Vision, Python.
Description: Developed a computer vision project focused on detecting and tracking hand movements in real-time.
Implementation: Fine-tuned YOLO parameters to ensure high-speed detection and accuracy, suitable for gesture recognition or interactive applications.
Role: Vice President of the Educational Content Committee at the AI Pioneers Club.
Collaboration: Organized and managed this initiative in strategic partnership with IBM.
Contribution: Led the development of educational content and workshops aimed at spreading AI knowledge.
Project: Developed a customized Point-of-Sale (POS) system for "Najm Al-Anjaz" copy and print shop.
Outcome: Streamlined business operations, including sales tracking and digital archiving, through a tailored software solution.
Leading the development of educational AI content and delivering practical technology solutions.
Analyzing datasets in ERP environments and creating dashboards to drive operational efficiency[cite: 11, 13].
Departments: ERM (Enterprise Records Management), PRM (Physical Records Management)
• Managed data entry operations across multiple departments with high accuracy
• Executed 25+ archival projects across various industries
• Handled client-facing operations in PRM department
• Worked with specialized systems: Abbyy FineReader, Kovax
• Performed document scanning and digital archiving for enterprise clients
• Ensured data integrity and compliance with industry standards
Located in Riyadh, Saudi Arabia 🇸🇦
Email: asszzz2002@gmail.com | WhatsApp: +966545070194