sandeep_gangarapu_resume.pdf

I am a fifth-year Doctoral Candidate studying Information and Decision Sciences at Carlson School of Management. I develop methods and frameworks that help decision-makers better conduct A/B testing experiments and also optimally target subjects and treatments in a budget constrained, heterogeneous treatment effect environment. These questions fall in the line of literature related to Heterogeneous Treatment effects and Multi-Arm Bandits. I use a mix of Statistics, Machine Learning and Causal Inference to solve the above problems.

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📧 ganga020 (at) umn (dot) edu

🔗 https://www.linkedin.com/in/sandeepgangarapu/

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Ph.D in Information and Decision Sciences

2016 - Present

Carlson School of Management, University of Minnesota

Bachelors' and Masters' in Aerospace Engineering

2008 - 2013

Indian Institute of Technology, Kharagpur, India

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Data Scientist

Google Inc., Trust and Safety, Google Search Anti-Abuse, Hyderabad, India (2013-2016)

Part of global Search Quality team that prevents abuse on Google Search results using a combination of manual and automated solutions. Worked as an Automation Specialist and collaborated with multiple spam task forces and created end-to-end automated spam filters. These automated solutions together impacted over 200M search queries in 2015 alone.

Data Scientist

MuSigma Inc., Bangalore, India (2013)