Educational Research · Assessment Analytics · Psychometrics
Preeti Manchanda

Preeti Manchanda

Educational research and data analyst

I turn complex data into clear insights that help people make better decisions.

Noida, IndiaA little about me
About me

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.

6+Years of research experience
800kPatient records analyzed
100+Enumerators trained
M.Phil in Population StudiesIIPS, Mumbai · 2017 — 2018
M.A in Population StudiesIIPS, Mumbai · 2015 — 2017
B.A (Hons) EconomicsUniversity of Delhi · 2011 — 2014
Experience

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.

Nov 2025 — Jun 2026
  • 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.
Aug 2024 — Mar 2025
  • 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.
May 2024 — Jul 2024
  • 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.
Dec 2022 — Sep 2023
  • 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.
Jul 2022 — Nov 2022
  • 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.
Dec 2021 — Jan 2022
  • 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.
Jul 2018 — Nov 2021
  • 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.
May 2016 — Jul 2016
  • 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.
SKILLS & TOOLS

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
SELECTED PROJECTS

Research in practice

A few examples of how I have used evidence
to answer real-world questions.

3onboarding variants
EDTECH · EXPERIMENTATION

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.

2PLitem response theory
PSYCHOMETRICS · TALENT

Measuring what matters

Developed and validated AI-powered talent assessments, from writing items to running pilots and psychometric analyses.

2,500student records analyzed
EDUCATION · DATA ANALYSIS

Learning, through data

Analysed examination results across DBSE-affiliated schools to support more evidence-informed educational assessment.

GET IN TOUCH

Interested in working together?

Have a research question, a project in mind,
or simply a shared curiosity? I’d love to hear from you.

Noida, India · Speaks English & Hindi
p.manchanda93@gmail.com
Send an email