Data & Product Analytics Casebook 2026

Rajat Raj

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Data & Product Analytics Casebook 2026
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Metric drop investigation — segmentation before hypothesis

Feature adoption vs. retention — selection bias and matched cohorts

A/B test peeking and proxy metric failure — statistical validity

Cohort retention and LTV compression — acquisition quality divergence

Pricing elasticity — break-even modeling before experimentation

What are people saying

Yet another amazing session. I would 100% recommend Rajat to anyone in the data field.
Marcia Rajan
Aug 2025
Amazing call. I'm a BI analyst in UK, looking to transition to India. Rajat rightly understood all my skills and needs and gave me a clear strategy to follow :) Very helpful and friendly.
Marcia Rajan
Aug 2025
Session was very interesting and interactive. Very crisp and clear guidance according to the situations. Thank you so much.
Vaibhav Jain
Aug 2025
The mentor call with Rajat Raj was really helpful—he patiently answered my doubts
venkata
Aug 2025
I had a highly productive session with Rajat today. He demonstrated remarkable expertise and a very approachable style, offering tailored advice crucial for my transition into data analytics. His insights on refining my LinkedIn profile, structuring my resume, and developing an effective job search strategy were particularly impactful. Overall, it was an excellent engagement, and I am eager to apply his recommendations and continue our discussions.
PRANOY CHAKRABORTY
Jun 2025
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