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Bollina Spurthi

@bollinaspurthi

Senior Data Scientist at Amazon Web Services who improved causal rank correlation from 0.27 to 0.82 and guides strategic budget decisions.

United States

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What I'm looking for

I'm drawn to teams solving hard problems in causal ML, experimentation, and measurement, where analytical rigor meets real business impact. I'm deepening my hands-on work in experimental design and causal studies.

At Amazon Web Services, I built a causal calibration framework that improved rank correlation with causal ground truth from 0.27 to 0.82. I also led multi-touch attribution analysis to quantify incremental revenue across marketing channels.

My work influenced multi-million-dollar budget reallocations by measuring channel-level impact. I partnered with data engineering and business teams to productionize measurement pipelines and establish a durable causal-measurement standard.

At Darwill, I trained and validated predictive models for acquisition marketing and designed experiments to test marketing strategies. I also worked with data engineers and developers on data pipelines supporting downstream products and analytics.

Earlier, as a Data Science Intern at United Airlines, I built a predictive model to forecast airline delays. I'm now deepening my hands-on work in experimental design and causal studies, and I'm drawn to teams tackling hard problems in causal ML, experimentation, and measurement.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Amazon Web Services (AWS)

Jul 2022 - Present (4 years 3 months)

I played a pivotal role in enhancing attribution accuracy and driving strategic budget decisions.

- Built a causal calibration framework that improved rank correlation with causal ground truth from 0.27 to 0.82.
- Led multi-touch attribution analysis across marketing channels to quantify true incremental revenue.
Influenced multi-million-dollar budget reallocations by quantifying channel-level i

Data Scientist

Darwill

May 2018 - Jul 2022 (4 years 2 months)

Key Tasks/projects:
- Helped organizations in target marketing and responsible for data acquisition, logical workflow and seamless execution process
- Training and validating predictive models using a range of Machine Learning Algorithms to support acquisition marketing campaigns
- Develop and enhance data products through iterative testing and experimentation
- Design, execute and analyze experim