Srivatsan Ramanujam

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I lead a team of software engineers in San Francisco building various customer facing ML products in both Pardot Einstein (ex: https://www.pardot.com/solutions/b2b-marketing-automation/artificial-intelligence/) and Sales Cloud Einstein (https://www.salesforce.com/products/sales-cloud/features/sales-cloud-einstein/). My team owns the complete end-to-end machine learning pipeline, including data science exploration, feature engineering, model building and deployment, that powers features in the above products.

data science hawq sentiment analysis madlib pivotal datascience spark greenplum database natural language processing pl/python topic modeling explainability pardot salesforce machinelearning einstein apache hawq predictive maintenance redis apache madlib greenplum apache geode spring cloud dataflow machine learning sklearn cloud foundry python text analytics predictive analytics internet of things internet of humans sensor data hadoop big data suite big data citizen science emc twitter commodity futures classification regression pivotal data labs scikit-learn data parallelism pl/r pyspark pivotal hadoop lda traffic prediction

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Srivatsan Ramanujam

Presentations

Python Powered Data Science at Pivotal (PyData 2013)

PyMADlib - A Python wrapper for MADlib : in-database, parallel, machine learning library.

A Pipeline for Distributed Topic and Sentiment Analysis of Tweets on Pivotal Greenplum Database

Pivotal Data Labs - Technology and Tools in our Data Scientist's Arsenal

Analyzing Power of Tweets in Predicting Commodity Futures

Climate Data Lake: Empowering Citizen Scientists in Acadia National Park

Data Driven Action : A Primer on Data Science

All thingspython@pivotal

Data Science for predictive maintenance in connected vehicles

Machine Learning Driven Sales and Marketing for Everyone

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Recsys 2016 tutorial: Lessons learned from building real-life recommender systems

Introduction to Deep Learning with Python

Practical Sentiment Analysis