Personal Information
Organization / Workplace
Stockholm Sweden
Occupation
IBM Data Science Evangelist
Industry
Technology / Software / Internet
About
Tushar Kale is a Data Science Evangelist with GBS-SWG iCoC team. He is a SME for Apache Spark, InfoSphere - Streams and InfoSphere Changed Data Capture (CDC). Tushar has over 17 years of diverse experience in implementing very large scale Near Real Time Data warehouses that are mission critical for Telecom, Banks, Health Care, Criminal Justice, Staffing and Postal industries.
Tushar set a new IBM CDC world record to process over 2000 logs amounting to 3.2 TB logs a day. He has a MBA in Finance and Bachelor of Engineering-Electronics and Communications with distinction from The University of Mumbai.
Tags
big data
See more
Presentations
(2)Documents
(2)Likes
(114)Snowflake SnowPro Certification Exam Cheat Sheet
Jeno Yamma
•
4 years ago
GANs for Anti Money Laundering
Jim Dowling
•
3 years ago
Building Serverless Microservices with AWS
Donnie Prakoso
•
5 years ago
Optimizing Delta/Parquet Data Lakes for Apache Spark
Databricks
•
4 years ago
Performance Analysis of Apache Spark and Presto in Cloud Environments
Databricks
•
4 years ago
High-Performance Advanced Analytics with Spark-Alchemy
Databricks
•
4 years ago
Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Architect Things Right
Databricks
•
4 years ago
Automated Production Ready ML at Scale
Databricks
•
4 years ago
AI on Spark for Malware Analysis and Anomalous Threat Detection
Databricks
•
4 years ago
CyberMLToolkit: Anomaly Detection as a Scalable Generic Service Over Apache Spark
Databricks
•
4 years ago
Drug Discovery and Development Using AI
Databricks
•
4 years ago
Managing the Complete Machine Learning Lifecycle with MLflow
Databricks
•
4 years ago
Koalas: Pandas on Apache Spark
Databricks
•
4 years ago
Driver Location Intelligence at Scale using Apache Spark, Delta Lake, and MLflow on Databricks
Databricks
•
4 years ago
Retrieving Visually-Similar Products for Shopping Recommendations using Spark and Tensorflow
Databricks
•
4 years ago
How to Automate Performance Tuning for Apache Spark
Databricks
•
4 years ago
Astronomical Data Processing on the LSST Scale with Apache Spark
Databricks
•
4 years ago
Enabling Biobank-Scale Genomic Processing with Spark SQL
Databricks
•
4 years ago
Simplify and Scale Data Engineering Pipelines with Delta Lake
Databricks
•
4 years ago
Augmenting Machine Learning with Databricks Labs AutoML Toolkit
Databricks
•
4 years ago
Unified Approach to Interpret Machine Learning Model: SHAP + LIME
Databricks
•
4 years ago
Building a Scalable Data Science Solution to Outperform Sales Execution in Traditional Trade Markets
Databricks
•
4 years ago
Predicting Banking Customer Needs with an Agile Approach to Analytics in the Cloud
Databricks
•
4 years ago
Apache Spark for Cyber Security in an Enterprise Company
Databricks
•
4 years ago
Lessons Learned from Using Spark for Evaluating Road Detection at BMW Autonomous Driving
Databricks
•
4 years ago
Building an AI-Powered Retail Experience with Delta Lake, Spark, and Databricks
Databricks
•
4 years ago
Distributed Models Over Distributed Data with MLflow, Pyspark, and Pandas
Databricks
•
4 years ago
Improving the Life of Data Scientists: Automating ML Lifecycle through MLflow
Databricks
•
4 years ago
Commercial Analytics at Scale in Pharma: From Hackathon to MVP with Azure Databricks
Databricks
•
4 years ago
Personal Information
Organization / Workplace
Stockholm Sweden
Occupation
IBM Data Science Evangelist
Industry
Technology / Software / Internet
About
Tushar Kale is a Data Science Evangelist with GBS-SWG iCoC team. He is a SME for Apache Spark, InfoSphere - Streams and InfoSphere Changed Data Capture (CDC). Tushar has over 17 years of diverse experience in implementing very large scale Near Real Time Data warehouses that are mission critical for Telecom, Banks, Health Care, Criminal Justice, Staffing and Postal industries.
Tushar set a new IBM CDC world record to process over 2000 logs amounting to 3.2 TB logs a day. He has a MBA in Finance and Bachelor of Engineering-Electronics and Communications with distinction from The University of Mumbai.
Tags
big data
See more