Ahmed Affan

Designed and maintained complex automation workflows in n8n and Make.com, integrating business applications, APIs, databases, CRMs, and LLMs. Developed AI-powered agents and RAG systems for sales, research, and customer support.

Worked in a client-facing consulting environment, translating business requirements into automation and AI solutions. Built end-to-end Generative AI and data pipelines integrating SQL databases and unstructured data sources.

Led AI/ML projects for international clients, overseeing requirements, data collection, development, deployment, and delivery. Developed semantic search, RAG, summarisation, and question-answering systems over large-scale document repositories.

Collected, pre-processed, and curated large parallel NLP corpora with Python, ensuring high data quality. Performed large-scale sentiment analysis using LSTM, GRU, and RNN deep learning models, and produced research reports for publication.

Supported multiple Shopify e-commerce clients with API-based integrations, Zapier automations, and analytics, translating raw business data into decision-ready insights. Built and maintained Tableau dashboards and Python-based analytical reports.

Wrote Python scripts for data cleaning, standardisation, and exploratory analysis across multiple business datasets. Created visualisations and analytical reports using Tableau and Python for non-technical stakeholders.

MS in Data Science from the National University of Computer and Emerging Sciences, completed in 2022.

Bachelor's degree in Computer Software Engineering from the University of Management and Technology, completed in 2019.

Completed the Deep Learning Specialization by Andrew Ng in July 2021.

Completed the Machine Learning course from Stanford University in July 2021.