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Choosing the Right Causal Inference Method
A practical guide for data scientists on mapping real-world business problems to the right causal inference framework — from experiments to…
Sep 30
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Manisha Arora
3
Recap of PrepVector's A/B Testing Weekend Workshop
A deep dive into our A/B Testing Weekend Workshop—key learnings, mentor insights, and how experimentation transforms data scientists into strategic…
Sep 25
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Manisha Arora
1
The Myth of Feeling Ready in Your Career
Most of us fall into the trap of waiting until we feel ready. The truth? Readiness is not a starting point, it’s the outcome of taking small steps…
Sep 18
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Manisha Arora
1
The Future of Data Science Interviews: What You Need to Know for 2025 and Beyond
Discover how data science interviews are evolving in 2025. Prepare for the skills and formats that will define success.
Sep 17
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Manisha Arora
2
We’re Collaborating with StrataScratch — Here’s Why It’ll Change Your Data Career
PrepVector is partnering with Stratascratch to help data professionals strengthen programming skills and build analytical problem solving.
Sep 2
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Manisha Arora
1
August 2025
Solving the problem of multiple profiles per user - Part 1
Learn how Product Data Scientists solve real-world business challenges through data-driven insights, with a practical example of tackling the issue of…
Aug 15
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Manisha Arora
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Siddarth
3
July 2025
A Practical Guide to Difference-in-Differences — A 5-Part Series Summary
A quick recap of our 5-part series on Difference-in-Differences — from intuition to implementation and robustness checks. A practical guide for applying…
Jul 31
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Manisha Arora
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Banani Mohapatra
1
From Metrics to Decisions: The Role of a Product Data Scientist
Product Data Scientists do more than track metrics. They influence what gets built and why. This blog explores their role in strategy, experimentation…
Jul 30
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Manisha Arora
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Banani Mohapatra
8
Part 4: Running Robustness Checks in Diff-in-Diff
In this post, we walk through key robustness checks—from outlier analysis to placebo tests and diagnostics—to ensure your causal claims stand on solid…
Jul 25
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Manisha Arora
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Banani Mohapatra
4
Part 3B: Measuring the Impact of Free Shipping: a Diff-in-Diff Case Study
Using Difference-in-Differences, we estimate the true causal impact of offering free shipping—beyond assumptions and surface-level metrics.
Jul 23
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Manisha Arora
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Banani Mohapatra
2
LangGraph in Action: Building Complex, Stateful Agent Workflows - Part 4
Learn how to build complex, stateful agent workflows with LangGraph—featuring loops, memory, and dynamic routing.
Jul 22
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Manisha Arora
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Siddarth
3
AutoGen Unpacked: Conversational Multi-Agent Collaboration for AI Workflows - Part 3
In Part 3 of the AutoGen series, we dive into how multiple AI agents can collaborate seamlessly through structured conversation.
Jul 17
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Manisha Arora
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Siddarth
1
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