Ahd Abdulrahman Alharbi

• Developed and maintained interactive dashboards and reports using Power BI, SSRS, and other BI tools to support data-driven decision-making. • Designed and implemented data models, ETL processes, and storage setups aligned with organizational reporting requirements. • Collaborated with data architects and engineers to optimize data pipelines and reporting systems, ensuring performance and scalability. • Translated business needs into reporting requirements, KPIs, and metrics, delivering actionable insights to stakeholders and executives. • Standardized corporate reporting practices and contributed to establishing data governance policies, data dictionaries, and master data management. • Delivered advanced analytics and visualizations to solve business problems and support executive-level decision-making. • Supported CI/CD practices including version control (Git), deployment pipelines, and lifecycle documentation. • Provided consultation and support for departments lacking BI development resources, ensuring consistency in reporting standards. • Ensured compliance with organizational policies and procedures while identifying opportunities for continuous improvement.

● Key Responsibilities and Achievements: - Conducted competitive analysis of micro-mobility companies, collecting and analyzing data on operations, vehicle types, and market trends to identify strengths and weaknesses. - Designed and developed a bi-lingual customer support chatbot using AI frameworks, integrating it seamlessly into a mobile app built with Flutter. Tasks included data corpus preparation, fine-tuning models, and optimizing UI/UX. - Spearheaded the theoretical planning and partial implementation of "SpidersAI," an AI-powered assistant web app to streamline task management and communication, integrating Slack, ClickUp, Gmail, and Google Calendar functionalities. - Collaborated on UI/UX design using Figma, creating wireframes and mockups, and implemented responsive interfaces in React.js for web applications. - Optimized backend processes using Python's Flask for RESTful APIs and Firebase for real-time database management. - Fine-tuned large language models (LLMs) to improve AI performance for summarization, scheduling, and task prioritization. - Enhanced system performance through asynchronous processing, database indexing, and frontend optimizations like lazy loading and code splitting. - Delivered presentations to stakeholders, outlining business plans, system architecture, and project roadmaps while incorporating feedback for continuous improvement. ● Skills Acquired: - Data Collection & Analysis: Leveraged advanced tools for gathering and visualizing trends. - AI Development: Fine-tuned models and implemented Retrieval-Augmented Generation frameworks. - Software Engineering: Integrated APIs and developed secure, scalable solutions. - Project Management: Coordinated multi-disciplinary teams and managed deadlines effectively. - UI/UX Design: Created and optimized interfaces ensuring accessibility and responsiveness.

A specialized Data Science track focused on Digital Media Analytics, combining statistical analysis, machine learning, deep learning, data mining, and data visualization to extract actionable insights from media platforms. The program emphasizes analyzing audience behavior, optimizing content strategies, and measuring campaign effectiveness using tools such as Python, Tableau, and Power BI.

NanoDegree recipient in 'Data Visualization - MCIT' awarded through the SDA-RISE scholarship program. Acquired skills in data visualization and analysis. Grateful for the opportunity to enhance my expertise in this field.

NanoDegree recipient in 'AI Product Manager BSF' with a scholarship from Banque Saudi Fransi (BSF). Acquired skills in AI for business, including creating business cases, designing datasets, and building medical imaging systems. Grateful for the opportunity to enhance my AI product management expertise.