Academic BackgroundCompleted an intensive, hands-on program covering machine learning, deep learning, NLP, LLMs, Python, R, SQL, data analytics, and big data workflows. Applied learned skills in real-world AI and business projects.
Focused on business strategy, marketing, sales, negotiation, customer experience, and organizational management.
Studied econometrics, micro & macroeconomics, research methodology, and transportation systems analysis.Thesis: Economic evaluation of intelligent transportation systems (WIM) using real-world empirical data.
Professional ExperienceWorked on various applied AI and data-driven projects, including sentiment analysis of Farsi tweets, AI-based chatbots using LangChain, generative-AI solutions for automating company processes (using LLMs, Tavily, and multi-agent approaches such as CrewAI), and image-generation tasks through prompt-engineering techniques with DALL·E.
Led digital-transformation initiatives for manufacturing companies with a focus on Industry 4.0 adoption and strategic planning. Conducted Industry 4.0 maturity assessments (information systems, resources, culture, organizational structure) using the Industry 4.0 Maturity Index and developed tailored roadmaps for companies.Additionally designed and implemented “Ranoo Tag,” a customer-insight system using gamification and QR-based data collection for a food & beverage company, applying data-analytics techniques to analyze customer behavior in real time.