Economist | Data Scientist | Illustrator
Hello, I'm Ridhima,
I work at the intersection of econometric analysis, data science, and visualization; with a focus on public health, social security, and livelihoods.
I designed this website to share some of my work with a wider audience.
With a strong creative inclination, my work often incorporates illustrations and unconventional color palettes alongside traditional analyses.
What I do
Econometric Modeling
Scientific Writing
Monitoring and Evaluation
Custom Tool Development
Program Design
Survey
Design
Capacity Building
Data Science & Visualization
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
Evaluating public-private mix TB programs
Evaluation of JEET - the largest Public-Private Mix TB program globally
Digital Social Security - Are we there yet
Nation-wide Study - Investigating citizen behaviours in accessing social security
Latent Tuberculosis - Cascade of Care
Understanding the largest Latent TB program globally
How important are Chest X-Rays?
Turns out, 67% of TB positive among contacts are asymptomatic
Working at the intersection of data, economics, and decision-making - my work focuses on synthesizing disparate findings systems into usable insights.
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 - qualitative, quantitative, and artificial (intelligence). While this progress is positive, it also means that what we consider “evidence” is often shaped by the methodologies we use.
At the center of this complexity are people and programs navigating practical challenges.
My work focuses on bridging that gap - unbundling complexity, synthesizing evidence, and translating it into clear, actionable tools and insights for decision-makers.
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