Mian Muhammad Abdul Hamid · MS Applied Data Science · Syracuse University · iSchool
I'm a data scientist at the intersection of analytics, information security, and social impact — building systems that are technically sound and ethically grounded.
◆ Program Learning Outcomes
The MS in Applied Data Science is built around six core competencies. Each of my projects maps directly to one or more of these outcomes.
Identifying and leveraging applicable technologies for data acquisition and management at scale.
Generating insight across societal, business, and political contexts using the full data science lifecycle.
Applying visualization and machine learning to help stakeholders make better, faster decisions.
Using R and Python to support the generation of insight from complex, large-scale datasets.
Translating technical findings into clear narratives for both technical and non-technical audiences.
Evaluating data and predictive models for fairness, bias, transparency, and privacy implications.
◆ Featured Work
Using historical inspection patterns to help restaurant owners prepare proactively — shifting from a reactive to a risk-based public health model across New York City.
ML classification model predicting NYC restaurant health inspection risk using historical violation patterns.
View on GitHub →Analyzing New York State's Tuition Assistance Program from 2000–present to surface inequities in aid distribution across income levels, age groups, and institution types.
Tableau dashboard revealing 20+ years of shifts in NY student financial aid across income and age groups.
Dashboard Link Coming SoonInvestigating 114,000+ chemical disclosure records from California's Safe Cosmetics Program to identify usage trends, company behavior, and product discontinuation patterns.
◆ My Data Science Identity
My background in Information Management and Technology has shaped how I see data — not just as numbers, but as a tool that affects people, systems, and outcomes. I'm drawn to datasets that carry social weight: energy inequality, student financial access, food safety, consumer protection.
I'm becoming a data scientist who not only knows how to work with data, but thinks carefully about how it affects the world around it.
Read My Full Reflection →