I recently had the opportunity to participate in a panel discussion Hire-101 by HackerEarth, organized by the folks at HackerEarth. You can find a recording of this session below. I am also sharing...

As I see many of the peaceful #BLM protests being met with violence at the hands of law enforcement, I am reminded of Gandhi, the oscar winning 1982 film by Richard Attenborough that introduced th...

HackerEarth is a community of over 4 million developers who participate in online hackathons and programming challenges in preparation for a career in the tech industry. Several prominent companies...

The good folks at Grid Dynamics have been scheduling meetups filled with interesting talks in a range of topics spanning data science, machine learning and AI. I had the opportunity to attend one o...

My team and I wrote a two part blog on the product we have been working on for the past couple of releases (Behavior Scoring for Pardot Einstein) and published it in the Salesforce Engineering blog...

We got a chance to allow our customers to peek under the hood of the machine learning pipelines powering a variety of features in Sales Cloud Einstein and Pardot Einstein. While this is the 4th tim...

I presented a talk on scalable in-database machine learning using PL/Python at Postgres Open Silicon Valley. As a fan and long time Postgres users, I have greatly benefited by leveraging PL/Python ...

My colleague Regunathan and I presented our work on using data science to sessionize and analyze customer logins of our large financial sector clients and uncover both anomalies as well as patterns...

I co-wrote a blog on how we operationalize data science models on the Pivotal stack by leveraging in-database scalable methods for model training and stream processing functions in Apache Geode for...

Using a clever trick in leveraging static dictionaries in PL/Python, we can easily scale ML models from popular libraries like scikit-learn or XGBoost for data parallel problems. You can read the f...