Danish Shahzad, Agentic AI Engineer and Data Scientist

Karachi, Pakistan

Open to suitable remote opportunities worldwide

About Me

Turning data and AI into practical applications

I am an Agentic AI Engineer and Data Scientist focused on building useful, evidence-grounded solutions for real business problems. My work spans the full path from preparing and understanding data to developing machine-learning models and user-facing AI applications.

I work with data cleaning, transformation, exploratory analysis, KPI reporting, and feature engineering to create dependable foundations for analysis. I apply regression and classification techniques where predictive modelling is appropriate, and I use my e-commerce background to support inventory, sales, pricing, and product-performance analysis.

On the application side, I build FastAPI and Streamlit solutions, document Q&A systems, retrieval-grounded AI assistants, and agent workflows using LangChain and LangGraph. I aim to keep these systems practical, understandable, and connected to the data or source material they rely on.

I am based in Karachi, Pakistan, and open to suitable remote opportunities with teams and clients worldwide.

What I Work On

A balanced combination of analytics, machine learning, business context, and AI application development.

Data Preparation & Analysis

  • Data cleaning and transformation
  • Exploratory data analysis
  • KPI reporting
  • Feature engineering

Machine Learning

  • Regression and classification
  • Feature-driven predictive modelling
  • Model evaluation
  • Applied business analysis

Business & E-Commerce Analytics

  • Inventory and e-commerce analysis
  • Sales and pricing analysis
  • Product-performance reporting
  • Data-informed recommendations

AI Application Development

  • FastAPI and Streamlit applications
  • Document Q&A systems
  • Retrieval-grounded AI assistants
  • LangChain and LangGraph workflows