CV — Rizwanur Rob
Institutional researcher and applied economist with experience in causal analysis, building predictive models and dashboards, cross-functional reporting, and communicating results to both technical and non-technical audiences.

Analysis & Modeling

Stata, Python (Pandas, NumPy, NLP), Excel: Regression, Predictive modeling, Machine learning, Causal inference

Visualization & Reporting

Tableau, Stata, LaTeX to create interactive dashboards, data storytelling, summary reports

SIS and relevant higher ed platforms

Workday, Informer, Ellucian Colleague, Slate, Canvas, Qualtrics

Communication

Executive reports, seminars, presentations, training workshops, communicating complex analysis and topics for mixed technical audiences

Assistant Director

Suffolk University  ·  Boston, MA

  • Developed and maintained 10+ Tableau dashboards supporting enrollment, retention, course planning, program review, grade distribution, course evaluations, and campus climate. Internal and external dashboards for reporting and analysis, supporting other units across the university including deans, academic departments, and public affairs.
  • Built predictive enrollment models to support strategic planning and early intervention for at-risk student populations.
  • Conducted causal analysis and student outcome research to evaluate the effectiveness of institutional programs and interventions such as tuition guarantees, academic coaching, mentoring.
  • Led financial modeling and work including FVT/GE reporting, academic program profitability analysis, and budget scenario planning for senior leadership.
  • Cooperated in cross-functional partnerships with Finance, Student Affairs, Student Success, and Deans’ offices to provide ad hoc data requests, program evaluations, and supporting data-driven decision and.
  • Led presentations and training workshops for both technical and non-technical audiences.
  • Collaborated with external partners including the National Student Clearinghouse, HelioCampus, DataKind on data validation and integrity, reporting, and building predictive models.
  • Implemented NLP processes to semi-automate coding and qualitative analysis of large open-ended survey responses.
  • Mentored 5 graduate fellows on long-term institutional research projects.
Senior Research Analyst, Institutional Research

Suffolk University  ·  Boston, MA

  • Developed and maintained 10+ Tableau dashboards supporting enrollment, retention, course planning, program review, grade distribution, course evaluations, and campus climate. Internal and external dashboards for reporting and analysis, supporting other units across the university including deans, academic departments, and public affairs.
  • Built predictive enrollment models to support strategic planning and early intervention for at-risk student populations.
  • Conducted causal analysis and student outcome research to evaluate the effectiveness of institutional programs and interventions such as tuition guarantees, academic coaching, mentoring.
  • Led financial modeling and work including FVT/GE reporting, academic program profitability analysis, and budget scenario planning for senior leadership.
  • Reporting including US News submissions, annual Factbooks, and accreditation reports for CAHME and NASPAA.
  • Collaborated with external partners including the National Student Clearinghouse, HelioCampus, DataKind on data validation and integrity, reporting, and building predictive models.
  • Implemented NLP processes to semi-automate coding and qualitative analysis of large open-ended survey responses.
Adjunct Lecturer

Northeastern University  ·  Boston, MA

  • Taught Principles of Macroeconomics and Microeconomics to classes of 30–50 students; evaluations consistently between 4.5 and 4.8 out of 5.0.
  • Created instructional videos, assignments, and course materials for remote and hybrid delivery.
  • Designed and taught a 3000-level Law and Economics elective.
Teaching Assistant (Head TA)

Northeastern University  ·  Boston, MA

  • Led recitations for introductory Macroeconomics and Microeconomics.
  • Coordinated a team of 4–5 teaching assistants as Head TA.
  • Regularly substituted in large lectures of 150+ students.
PhD Research

Northeastern University  ·  Applied Economics

  • Conducted research in education, labor, and industrial organization economics using large datasets, machine learning, and causal inference methods including regression discontinuity and difference-in-difference.
Free lunches for all: The effect of school lunch programs on academic performance
Microsoft vs EU: Evaluating the effectiveness of an unusual behavioral remedy
Flying disrupted: How the Boeing 737 Max crisis affected supply and routes in the US
Do Fixed Tuition Guarantees Retain Students? Evidence from a GPA-based aid policy
Measuring What Matters: A Program’s Financial Health
Southern Economic Association 89th Annual Meeting  ·  2019
Southern Economic Association 88th Annual Meeting  ·  2018
APPAM Fall Research Conference  ·  Washington, D.C.  ·  2018

PhD in Applied Economics, ABD

Northeastern University

2024

Master of Arts in Economics

Northeastern University

2015