Hi, I'm Khuzaima Hassan.
Computer Science graduate specializing in Data Science with experience in Machine Learning, Generative AI, and intelligent data systems. Passionate about building AI-powered applications that transform data into actionable insights and real-world solutions.
I am a Computer Science graduate specializing in Data Science from NED University of Engineering & Technology. My interests lie at the intersection of Machine Learning, Generative AI, and intelligent data systems, where I enjoy transforming complex data into practical solutions.
During my journey, I have gained hands-on experience developing end-to-end AI and machine learning applications, including fraud detection systems, risk scoring platforms, predictive analytics solutions, and LLM-powered assistants. I have also worked as a Data Science Intern at 10Pearls, where I contributed to machine learning projects involving data preprocessing, feature engineering, model development, and data visualization.
My technical expertise includes Python, SQL, Machine Learning, FastAPI, Streamlit, PostgreSQL, and modern Generative AI technologies such as Gemini, Groq, Ollama, and LLM integration workflows. I am particularly interested in building AI-powered products that bridge the gap between advanced technology and real-world business impact.
I am currently seeking opportunities in AI/ML Engineering, Data Science, Generative AI, and Applied Machine Learning, where I can contribute to innovative projects while continuing to grow as an engineer and problem solver.
Building end-to-end machine learning solutions including classification, regression, fraud detection, risk scoring, and predictive analytics using Python, Scikit-learn, and modern data science workflows.
Developing AI-powered applications using Gemini, Groq, Ollama, prompt engineering, and retrieval-augmented workflows to create intelligent assistants and data-driven solutions.
Transforming raw data into actionable insights through exploratory data analysis, feature engineering, statistical modeling, SQL, and interactive visualizations.
Building and deploying AI solutions with FastAPI, Streamlit, PostgreSQL, and modern Python frameworks to deliver scalable and user-friendly applications.
Designing robust data architectures and automated ETL pipelines using PostgreSQL, BigQuery, and Python to ensure seamless data flow.
Classification Models
Comparative analysis of classification models for financial fraud detection. Implemented and benchmarked multiple ML algorithms to identify optimal performance metrics for production deployment.
End-to-end ETL Architecture
End-to-end data warehouse implementation with dimensional modeling and ETL pipelines. Designed star schema architecture for optimized analytical queries and business reporting.
DataCamp
Feel free to reach out to me for any inquiries or project collaborations. I'm always open to discussing new opportunities.
Karachi, Pakistan
khuzaimahassan52@gmail.com
+923213937589