Eeshan Srivastava
Data science leader building products with AI
AI-Native Data Science Beyond Notebooks
With more than a decade in the data science field, I realized that the best way to learn isn't more notebooks or collecting more courses — it's building end-to-end. I'm building projects that force me to wear every hat: PM, engineer, architect, marketer, and finally the data scientist.
You understand data differently when you built the system that created it. And when the insights from your analysis or predictions from your ML model improves the product, the loop starts again.
Startup mentality. The Build Loop. AI handles the scaffolding; human does the thinking & planning.
As a leader, I can't ask my team to embrace new tools and workflows if I haven't experienced the learning curve myself. I build in my personal time—not to replace engineers, but to understand the tradeoffs firsthand. It makes me a better collaborator and a more credible leader.
Interactive tool for learning A/B testing fundamentals
What's Next
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Marketing Mix Modeling Explorer
Interactive tool for understanding MMM
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