Personal Information
Organização/Local de trabalho
Stockholm Sweden
Cargo
IBM Data Science Evangelist
Setor
Technology / Software / Internet
Sobre
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.
Marcadores
big data
Ver mais
Apresentações
(2)Documentos
(2)Gostaram
(114)Snowflake SnowPro Certification Exam Cheat Sheet
Jeno Yamma
•
Há 4 anos
GANs for Anti Money Laundering
Jim Dowling
•
Há 3 anos
Building Serverless Microservices with AWS
Donnie Prakoso
•
Há 5 anos
Optimizing Delta/Parquet Data Lakes for Apache Spark
Databricks
•
Há 4 anos
Performance Analysis of Apache Spark and Presto in Cloud Environments
Databricks
•
Há 4 anos
High-Performance Advanced Analytics with Spark-Alchemy
Databricks
•
Há 4 anos
Automated Production Ready ML at Scale
Databricks
•
Há 4 anos
AI on Spark for Malware Analysis and Anomalous Threat Detection
Databricks
•
Há 4 anos
CyberMLToolkit: Anomaly Detection as a Scalable Generic Service Over Apache Spark
Databricks
•
Há 4 anos
Drug Discovery and Development Using AI
Databricks
•
Há 4 anos
Managing the Complete Machine Learning Lifecycle with MLflow
Databricks
•
Há 4 anos
Koalas: Pandas on Apache Spark
Databricks
•
Há 4 anos
Retrieving Visually-Similar Products for Shopping Recommendations using Spark and Tensorflow
Databricks
•
Há 4 anos
How to Automate Performance Tuning for Apache Spark
Databricks
•
Há 4 anos
Astronomical Data Processing on the LSST Scale with Apache Spark
Databricks
•
Há 4 anos
Enabling Biobank-Scale Genomic Processing with Spark SQL
Databricks
•
Há 4 anos
Simplify and Scale Data Engineering Pipelines with Delta Lake
Databricks
•
Há 4 anos
Augmenting Machine Learning with Databricks Labs AutoML Toolkit
Databricks
•
Há 4 anos
Unified Approach to Interpret Machine Learning Model: SHAP + LIME
Databricks
•
Há 4 anos
Predicting Banking Customer Needs with an Agile Approach to Analytics in the Cloud
Databricks
•
Há 4 anos
Apache Spark for Cyber Security in an Enterprise Company
Databricks
•
Há 4 anos
Lessons Learned from Using Spark for Evaluating Road Detection at BMW Autonomous Driving
Databricks
•
Há 4 anos
Building an AI-Powered Retail Experience with Delta Lake, Spark, and Databricks
Databricks
•
Há 4 anos
Distributed Models Over Distributed Data with MLflow, Pyspark, and Pandas
Databricks
•
Há 4 anos
Improving the Life of Data Scientists: Automating ML Lifecycle through MLflow
Databricks
•
Há 4 anos
Commercial Analytics at Scale in Pharma: From Hackathon to MVP with Azure Databricks
Databricks
•
Há 4 anos
Personal Information
Organização/Local de trabalho
Stockholm Sweden
Cargo
IBM Data Science Evangelist
Setor
Technology / Software / Internet
Sobre
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.
Marcadores
big data
Ver mais