Data Science | AI | EdTech
Saqib Safdar
I help schools, universities and mission-led teams use data, AI and learning technology responsibly.
The work sits where technical build meets educational judgement: dashboards people can use, AI literacy people can trust, and projects that make learning technology feel practical.
Current Focus
Responsible AI, data products and learning systems
29Public repos
7Imported essays
4Practice areas
Case studies
Implemented work first, technical portfolio second
The strongest front-page story is evidence-backed work from testimonials, followed by GitHub projects that demonstrate technical skill without overstating deployment.
Implemented analytics
LSE attendance and bookings dashboard
A live Tableau tool for analysing course attendance and booking data, supported by external testimonial evidence.
Open caseDigital transformation
EdTech adoption across schools and colleges
Strategy and implementation work across Microsoft 365, Teams, OneNote, Canvas and remote-learning workflows.
Open caseTraining and adoption
Accessible staff training and CPD
Practical support that helped staff use digital tools confidently during periods of institutional change.
Open caseServices
Clear offers for teams that need practical progress
AI literacy workshops
For staff, students and leaders who need confident, responsible AI use without hype.
Data science training
Python, SQL, Tableau and analytics sessions built for mixed-confidence groups.
Dashboard builds
Reporting workflows that help teams compare performance, spot patterns and ask better questions.
EdTech strategy
Digital learning implementation that respects teaching realities and institutional constraints.
Writing
Thought leadership with an ethical edge
The Cognitive Debt Crisis: Designing Ethical AI for Deeper Learning
Abstract This post addresses the escalating "Cognitive Debt Crisis" in education, a systemic issue precipitated by the proliferation of Artificial Intelligence (AI) tools designed to optimise for efficiency…
How an Algorithm Deepened Inequality in UK A‑Level Results—and What It Teaches Us About AI Fairness
Introduction In 2020, when the pandemic forced the cancellation of A-level exams, the Office for Qualifications and Examinations Regulation (Ofqual) turned to an algorithm to award grades. This…
The Mathematics of Injustice: Why Facial Recognition’s Algorithmic Bias Makes It Fundamentally Unfit for Democratic Society
Introduction One can argue against AI-based facial recognition technology (FRT) from multiple perspectives. Warren and Brandeis (1890) established the foundational right of privacy or ‘right to be let…
GitHub
Curated repos with README context
The live code section now focuses on relevant AI, data science, EdTech and teaching-resource repositories.
Open GitHub Portfolio
Code
README
Tableau-DSL-Dashboard
Data Prep and Dashboard
Jupyter Notebook
README
DfE_P8_Project
This project analyses the performance of positive outlier schools in the UK during the 2022/23 academic year for their disadvantaged pupils' educational outcomes at…
Jupyter Notebook
README
mathdial
Bayesian Networks and Logistic Regression for predicting student self-correction using the MathDial mathematics tutoring dataset
Jupyter Notebook
README
Data-Engineering-Project-Using-Pyspark
This project uses Pyspark to work with large data (16 millions rows) to clean and prepare it for data analysis
Code
README
Customers-and-Products-Analysis-Using-SQL
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