Ehab Ashraf

AI Solutions Consultant

Digital Bayt • Freiberufler

Apr 2026 - Present • 4 mos

I help clients turn early-stage ideas into launch-ready digital products by combining AI strategy, technical planning, and practical execution. In a typical project, I start with a clear discovery phase, identify the 3–5 core user flows, define the top priorities, and turn everything into a structured build plan with 2–4 delivery milestones. My goal is to make the process easier, faster, and more predictable for the client, while keeping the final product clean, scalable, and aligned with the business goal. I support projects such as websites, web apps, internal tools, and AI-assisted systems, including chatbots, document processing, AI search, workflow automation, and LLM-based features. I also help clients cut unnecessary complexity by organizing the work into clear steps, realistic timelines, and measurable deliverables. Depending on the project, I can help improve efficiency by 30–50% through better workflow design, reusable components, and smarter automation. For many builds, I also aim to reduce repetitive manual work by 25–40%, especially when the project includes forms, content handling, or structured data workflows. My approach is client-focused: I listen carefully, clarify the problem, recommend the most practical solution, and keep communication clear at every stage. Whether a client needs a prototype, a service website, an AI-powered workflow, or a full product plan, I focus on delivering something that is useful, professional, and ready to grow.

Python Automation Developer

Automation Solutions • Freiberufler

Dec 2025 - Apr 2026 • 4 mos

I design and develop Python-based automation solutions that eliminate repetitive manual work, streamline business processes, and improve operational efficiency. My automation workflows are built using Python, Pandas, NumPy, OpenPyXL, SQL, REST APIs, Selenium, BeautifulSoup, and Git/GitHub, with seamless integration into platforms such as Google Sheets, Excel, Firebase, Supabase, and cloud-based services. I automate complex tasks including large-scale data processing, spreadsheet operations, file organization, report generation, web data extraction, API synchronization, document processing, and multi-step business workflows that would otherwise require hours of manual effort. Depending on project complexity, my solutions have reduced execution time by 45–80%, decreased manual errors by 35–70%, and automated workflows involving 100,000+ data records, 10–20 integrated data sources, and thousands of files per execution. Every automation is designed with modular architecture, reusable components, comprehensive error handling, structured logging, input validation, and detailed documentation to ensure long-term reliability and maintainability. I also integrate AI capabilities—including OpenAI, Claude, and Google Gemini APIs—for intelligent document processing, prompt-driven workflows, data classification, content generation, and decision-support automation. My development process emphasizes scalability, security, and performance, ensuring scripts remain stable as datasets grow and business requirements evolve. Whether automating reporting pipelines, ETL processes, administrative workflows, or AI-powered business operations, I focus on delivering measurable improvements in productivity, accuracy, and operational efficiency while minimizing maintenance costs and maximizing long-term business value.

Data Visualization Specialist

Analytics • Teilzeit

Apr 2025 - Dec 2025 • 8 mos

I transform complex datasets into clear, decision-ready visual stories that help teams understand performance, trends, and key opportunities faster. My work includes building dashboards, charts, summary visuals, and comparative layouts that turn raw numbers into insights stakeholders can act on. I choose the right visual format based on the data and audience—line charts for trends, bar charts for comparisons, scatter plots for relationships, and dashboard-style summaries for executive reporting. In my projects, I have worked with datasets ranging from 1,000 to 100,000+ records, cleaned and restructured data before visualization, and built outputs that reduced interpretation time by 30–50% and improved information retention in presentations and reports. I focus on clarity, hierarchy, and accuracy so every visual communicates one specific insight instead of simply looking polished. My workflow includes data cleaning, normalization, chart design, annotation, and final presentation formatting to ensure the result is both visually strong and analytically useful. I build visuals that support real analysis, strengthen business presentations, and make key patterns immediately visible, whether the goal is performance tracking, category comparison, trend monitoring, or communicating findings to a non-technical audience.