Personal Information
Entreprise/Lieu de travail
Stockholm Sweden
Profession
IBM Data Science Evangelist
Secteur d’activité
Technology / Software / Internet
Site Web
www.meetup.com/mumbai-spark-meetup
À propos
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.
Mots-clés
big data
Tout plus
Présentations
(2)Documents
(2)J’aime
(114)Snowflake SnowPro Certification Exam Cheat Sheet
Jeno Yamma
•
il y a 4 ans
GANs for Anti Money Laundering
Jim Dowling
•
il y a 3 ans
Building Serverless Microservices with AWS
Donnie Prakoso
•
il y a 5 ans
Optimizing Delta/Parquet Data Lakes for Apache Spark
Databricks
•
il y a 4 ans
Performance Analysis of Apache Spark and Presto in Cloud Environments
Databricks
•
il y a 4 ans
High-Performance Advanced Analytics with Spark-Alchemy
Databricks
•
il y a 4 ans
Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Architect Things Right
Databricks
•
il y a 4 ans
Automated Production Ready ML at Scale
Databricks
•
il y a 4 ans
AI on Spark for Malware Analysis and Anomalous Threat Detection
Databricks
•
il y a 4 ans
CyberMLToolkit: Anomaly Detection as a Scalable Generic Service Over Apache Spark
Databricks
•
il y a 4 ans
Drug Discovery and Development Using AI
Databricks
•
il y a 4 ans
Managing the Complete Machine Learning Lifecycle with MLflow
Databricks
•
il y a 4 ans
Koalas: Pandas on Apache Spark
Databricks
•
il y a 4 ans
Driver Location Intelligence at Scale using Apache Spark, Delta Lake, and MLflow on Databricks
Databricks
•
il y a 4 ans
Retrieving Visually-Similar Products for Shopping Recommendations using Spark and Tensorflow
Databricks
•
il y a 4 ans
How to Automate Performance Tuning for Apache Spark
Databricks
•
il y a 4 ans
Astronomical Data Processing on the LSST Scale with Apache Spark
Databricks
•
il y a 4 ans
Enabling Biobank-Scale Genomic Processing with Spark SQL
Databricks
•
il y a 4 ans
Simplify and Scale Data Engineering Pipelines with Delta Lake
Databricks
•
il y a 4 ans
Augmenting Machine Learning with Databricks Labs AutoML Toolkit
Databricks
•
il y a 4 ans
Unified Approach to Interpret Machine Learning Model: SHAP + LIME
Databricks
•
il y a 4 ans
Building a Scalable Data Science Solution to Outperform Sales Execution in Traditional Trade Markets
Databricks
•
il y a 4 ans
Predicting Banking Customer Needs with an Agile Approach to Analytics in the Cloud
Databricks
•
il y a 4 ans
Apache Spark for Cyber Security in an Enterprise Company
Databricks
•
il y a 4 ans
Lessons Learned from Using Spark for Evaluating Road Detection at BMW Autonomous Driving
Databricks
•
il y a 4 ans
Building an AI-Powered Retail Experience with Delta Lake, Spark, and Databricks
Databricks
•
il y a 4 ans
Distributed Models Over Distributed Data with MLflow, Pyspark, and Pandas
Databricks
•
il y a 4 ans
Improving the Life of Data Scientists: Automating ML Lifecycle through MLflow
Databricks
•
il y a 4 ans
Commercial Analytics at Scale in Pharma: From Hackathon to MVP with Azure Databricks
Databricks
•
il y a 4 ans
Personal Information
Entreprise/Lieu de travail
Stockholm Sweden
Profession
IBM Data Science Evangelist
Secteur d’activité
Technology / Software / Internet
Site Web
www.meetup.com/mumbai-spark-meetup
À propos
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.
Mots-clés
big data
Tout plus