Anees Amjad

MS in Computational Analysis and Public Policy @ UChicago | Data, Policy, and Computing

Anees Amjad

About Me

I am a graduate student in Computational Analysis and Public Policy at the University of Chicago, with a background in economics, public policy, and data analysis. I am interested in using data, code, and research to understand real-world problems and build tools that are both technically strong and socially meaningful.

My work sits at the intersection of policy and computation. I have worked on projects involving machine learning, survey analysis, web scraping, data cleaning, visualization, and applied research. I enjoy building projects that turn messy real-world data into something useful, interpretable, and decision-relevant.

Right now, I am especially interested in computational social science, public-interest technology, and data-driven policy analysis.

What I Work On

Python SQL R Data Analysis Machine Learning Web Scraping Data Visualization Public Policy Computational Social Science

Education

The University of Chicago
Master of Science in Computational Analysis and Public Policy | Expected June 2027

Coursework and projects in data science, programming, statistics, policy analysis, and computational methods.

Lahore School of Economics
Bachelor of Science in Economics and Political Science | August 2020 – May 2024

Coursework in econometrics, mathematical economics, time series analysis, and development economics.

Professional Experience

Pak Alliance for Maths and Science (PAMS)
Research Associate – Machine Learning | March 2025 – September 2025

Worked on applied research using data and predictive methods, contributing to projects with policy relevance in education and social outcomes.

Center for Economic Research in Pakistan (CERP)
Survey Analyst | November 2024 – September 2025

Supported survey-based research by cleaning, organizing, and analyzing data for policy and research use.

LAAM Technologies
Growth and Marketing Data Analyst | May 2024 – November 2024

Worked with business and marketing data to identify patterns, track performance, and support data-driven decisions.

Punjab Social Protection Authority (PSPA)
Data Analyst Intern | January 2024 – April 2024
Center for Research in Economics and Business (CREB)
Research Assistant | June 2023 – August 2023

Selected Projects

U.S. Campaign Messaging and Voter Priorities
Class Project | Python, JSON, Altair, Data Visualization

Built a project comparing what U.S. presidential candidates talked about in campaign speeches with the issues voters said mattered most during the 2016, 2020, and 2024 election cycles. The project combined polling data, text analysis, and interactive visualizations to explore alignment between public priorities and campaign rhetoric.

My work included data cleaning, combining datasets, structuring project outputs, and helping build visualizations for the final dashboard.

Predictive Modeling for Education Policy
Research Project | Machine Learning, Policy Research

Contributed to a project focused on modeling school enrollment and education-related outcomes in Pakistan. This work involved large-scale data, predictive methods, and policy-oriented interpretation. It strengthened my interest in building computational tools that can support public decision-making.

Survey Data and Applied Research Work
CERP and Other Roles | Data Cleaning, Analysis, Interpretation

Across different research and analyst roles, I have worked on cleaning survey data, organizing datasets, producing summaries, and supporting projects that connect data analysis with real-world policy and operational questions.

What I’m Looking For

I am interested in opportunities in data science, research, computational social science, and public-interest technology, especially roles where I can work on meaningful problems with strong technical teams.