- Designed an A/B experiment evaluating three onboarding variants of the Chalo Sesame Street app.
- Turned registration, activation, and engagement data into insights for product, UX, and field teams.

Preeti Manchanda
Educational research and data analyst
I turn complex data into clear insights that help people make better decisions.
The person behind the data
I bring a researcher’s curiosity and an analyst’s attention to detail.
I’m an educational researcher and data analyst with more than six years of experience in experimental design, assessment analytics, and large-scale survey research.
My work has ranged from understanding how children learn to validating talent assessments. Across each project, I combine rigorous statistical methods with a human-centred perspective because data matters most when it helps us better understand people.
With advanced R skills and experience across education, health, and social research, I turn complex data into clear, credible evidence that supports better decisions.
Research across disciplines and borders
I’ve worked with teams across education, assessment, health, and social research,
including international teams, helping make sense of important questions.
- Developed AI-powered talent assessments and ipsative situational judgement tests for soft skills.
- Conducted reliability, factor analysis, 2PL IRT, DIF, and concurrent validity analyses using R and BigQuery.
- Evaluated the structure, validity, and reliability of the Health Anxiety Inventory-18 (α = 0.97).
- Presented findings to the founder and supported its integration into the mental health assessment suite.
- Analyzed examination data for approximately 2,500 students across 30 DBSE-affiliated schools.
- Led the DLF CARES Impact Assessment 2023 report and contributed to assessment frameworks in Bhutan and Nepal.
- Cleaned and analyzed eyeSmart medical records from approximately 800,000 patients for eye disease research.
- Co-authored a conference proceeding published in the IHOPE Journal of Ophthalmology.
- Cleaned and modeled a gender-focused digital literacy survey of approximately 800 respondents across Delhi, UP, and Bihar.
- Documented data preparation and co-authored a publication based on the project findings.
- Designed survey instruments, trained 100+ enumerators, and automated tracking for 850+ schools.
- Analyzed large-scale datasets in Stata and presented rural Uttar Pradesh RCT findings at CIES and UKFIET in 2021.
- Contributed to National Health Mission, SDG, and maternal health research for the Ministry of Health and Family Welfare.
- Collected primary data in Dehradun and conducted monitoring and evaluation visits to government hospitals in Panipat.
The methods I use
A blend of research rigour, analytical thinking, and practical tools
to help organisations turn data into meaningful insights.
Research & experimentation
- Experimental design
- A/B testing
- Survey design
- Impact assessment
- Literature reviews
Psychometrics & assessment
- Item development
- Assessment design
- Item response theory (IRT)
- Factor analysis
- Reliability & validity
- DIF analysis
Data & analytics
- R · Advanced
- Stata
- Python · Working knowledge
- BigQuery · Working knowledge
- Data cleaning & validation
- Statistical analysis
Tools & visualization
- Tableau · Working knowledge
- Flourish
- Datawrapper
- Qualtrics
- Retool
- VBA macros
- Generative AI tools
Research in practice
A few examples of how I have used evidence
to answer real-world questions.
A better start to learning
Tested three onboarding approaches for the Chalo Sesame Street app, helping product and field teams understand what drove registration, activation, and engagement.
Measuring what matters
Developed and validated AI-powered talent assessments, from writing items to running pilots and psychometric analyses.
Learning, through data
Analysed examination results across DBSE-affiliated schools to support more evidence-informed educational assessment.
Interested in working together?
Have a research question, a project in mind,
or simply a shared curiosity? I’d love to hear from you.