I'm Vineet - I am a ML Scientist at PayPal. I build machine learning-based alerting systems to detect anomalies and identify root causes. This helps businesses take proactive actions to mitigate risk.
In the past, I have worked on churn, engagement, and retention modeling. 🌱 I am currently exploring Bayesian methods, and causal inference. This website will be a space for me to share my papers, projects, thoughts, and other expositions.
Here is my google scholar and link to author's version of all my papers.
To get in touch write to: moc.liamg [ta] 8ramuktnv
Difference in Difference is a super cool causal inference technique to estimate true causal impact of any intervention. Mostly used in fields of social sciences, marketing & anywhere we have an opportunity to do experiment and wish to estimate the true incremental impact.
Difference-in-differences compares the changes in outcomes over time …
These notes serves as a log for various important links and resources which I have used.