Master in Data Science
Memorial University of Newfoundland
Statistics, computer science & mathematics02 / THE PERSON BEHIND THE TWIN
Data, with a human perspective.
I’m Haseeb Khan, a Data Scientist and AI/ML Engineer based in Canada. My work connects statistical thinking, applied machine learning, and the engineering needed to make AI useful.
From statistics to AI systems.
My background in statistics and graduate study in data science shapes how I approach a problem: understand the data, examine the assumptions, and make the limits of the analysis clear.
My projects explore public policy, financial investigation, and maritime awareness. Across these domains, I’m particularly interested in AI governance, assurance, transparency, and human oversight.
Explore my workEDUCATION
Bachelor of Science in Statistics
Forman Christian College
EXPERIENCE
Analysis made understandable.
Accenture
Data Visualization and Analyst Intern
Research reporting and interactive dashboards for non-technical stakeholders; structured Excel and Power BI models for performance evaluation.
KPMG
Data Analytics Intern
Primary and secondary research, statistical analysis, briefing notes, and stakeholder collaboration to align research outputs with organizational needs.
British Airways
Data Science Intern
Web scraping, predictive analytics, passenger-data preparation, and NLP analysis of unstructured feedback, with attention to downstream data quality.
CAPABILITIES
Tools in service of the problem.
Applied AI
Ensemble learning, predictive modeling, computer vision, LLM applications, and agentic architectures.
Data & MLOps
Python, SQL, PyTorch, Airflow, MLflow, dbt, DuckDB, Docker, Terraform, and CI/CD.
Cloud engineering
AWS infrastructure, serverless APIs, FastAPI, and dependable data and inference workflows.
AI assurance
Evaluation, evidence provenance, transparency, human oversight, and accountable decision support.