Economist, Data Scientist & Illustrator
Hello, I'm Ridhima,
I work in public health, and all things development.
I designed this website to share some of my work with fellow do-gooders and creative folks.
What I do
Research & Policy Analysis
Scientific Writing
Monitoring and Evaluation
Program Design
Survey
Design
Capacity Building
methods
I rely on a fluid methodological concept - wherein depending on the problem statement, one or all of the three below methods are utilized
Qualitative
to provide context and uncover depth
Quantitative
to arrive at evidence which is scalable, verifiable, and unbiased
Design
to allow understanding from a human experience point of view
Featured Work
1
Free drugs | Tuberculosis
Clinton Foundation
Impact Evaluation | Manuscript
Our study assessed the impact of free drug provision to TB patients across India, as part of the National TB Elimination Program (NTEP) incentives. This quasi-experimental research utilized propensity score modeling to evaluate outcomes. Findings were published in BMC Infectious Diseases (2023)
2
Digital Adherence Technologies
We evaluated the impact of digital adherence technologies on patient outcomes, emphasizing the critical role of human follow-ups and counseling. The findings suggest that digital tools are most effective when complemented by human support to ensure adherence. Published in PLOS Digital (2024)
Clinton Foundation
Impact Evaluation | Manuscript
3
Digital Social Security
Treemouse
Design Study | Policy Report
Led a nation-wide quantitative study for assessing and recommending ways to enhance the citizen’s’ access and usage of public services. Findings were shared with Unique Identification Authority of India (UIDAI), the government body responsible for enabling acceess to digital social security to all of Indian citizens
I’ve had the privilege to work on various projects, aimed at making the world a better place, one step at a time.
The field of data-driven decision-making is at an exciting and transitional phase. As evidence-driven decision-making becomes central, we’re also seeing an explosion of new methods—visual, quantitative, real, and artificial (intelligence). While this progress is positive, it also means that what we consider “evidence” is often shaped by the methodologies we use.
In the middle, is the common person, often with simple challenges, riddled with complex systems.
Here is where I, along with my collaborators, come in - to unbundle, synthesize, and simplify.
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