Sm Abdullah

Data Scientist with hands-on experience across the full analytics lifecycle, data engineering, machine learning, visualization, and automation. Skilled in Python, SQL, and modern ML frameworks, with a track record of building ETL pipelines, predictive models, and interactive dashboards that turn raw, messy data into decisions stakeholders can act on. Experienced delivering 40+ client data projects end-to-end, from data collection and cleaning through insight delivery and reporting.

Full Stack Developer - Pakistan Council of Scientific and Industrial Research (PCSIR) - Islamabad

(2026-07)

Digital Transformation, Strengthening, and Automation PROJECT

• Develop full-stack applications supporting digital transformation and scientific automation workflows.
• Build backend APIs using Python, FastAPI, database integrations, and modern software development practices.
• Develop frontend interfaces and integrate data-driven application workflows.

Data Science & Automation Freelancer - Fiverr - Remote

(2021-04)

• Delivered 40+ end-to-end data projects for international clients, achieving a 5/5 star rating.
• Developed custom n8n automation workflows for clients, including CRM integrations, email automation, data synchronization between platforms (Google Sheets, Airtable, Notion), and webhook-based notification systems.
• Built Make (Integromat) scenarios for complex multi-step automations connecting 10+ applications per workflow.
• Created Zapier zaps for business process automation, reducing manual data entry by 80% for clients.
• Performed data scraping and mining using Python (BeautifulSoup, Scrapy, Selenium) to extract structured data from websites.
• Developed data enrichment pipelines to enhance datasets with additional attributes and validation.
• Created interactive dashboards and visualizations using Tableau and Power BI for business intelligence reporting.

AI & Automation Engineer - Invisio Solutions - Remote

(2024-05 - 2026-03)

• Designed and shipped RAG-based AI assistants using LangChain integrated with Gemini and OpenAI APIs, improving knowledge retrieval accuracy and response quality so clients could trust AI-generated answers in production.
• Delivered tailored generative AI and automation solutions for diverse client use cases, including RAG-powered chatbots and workflow automation, reducing clients' reliance on manual research and repetitive support tasks.
• Built scalable ETL pipelines to prepare structured and unstructured data for LLM-based retrieval and analytics workloads, ensuring downstream AI systems were fed clean, reliable data.

Bachelors of Science - Data Science - FAST-National University of Computer and Emerging Sciences (2021 - 2026)