Kuldeep Jiwani

Kuldeep Jiwani

Director / Data Scientist
Thales (Guavus)
location_on India

Member since 1 year

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Kuldeep Jiwani

Specialises In
"topological-space-creation" big-data-clustering data-science-at-scale sessionisation stochastic-periods time-sequenced-events

Data Scientist, Data Science Architect, Performance specialist, Entrepreneur, Tech visionary

Currently working as Director in Thales (Guavus) handling various Data Science projects, along with actively working as a data scientist researcher exploring new techniques of Machine Learning that could be applicable in real world scenarios.

As Data Scientist:
• Researching on new Machine Learning approaches in the domain of Cyber Security, network analytics
• NSBA (Network Service Behaviour Analytics): An unsupervised ML technique to model network service behaviours. This creates statistical Behavioural models of critical network service in an enterprise network. Any flow deviating from historically seen behaviours is raised as an alert. As it catches the abnormal flows, it can catch the “Unknown” threats, malware attacks, bots happening in the network.
• Data Geometry: Constructing topological spaces via semantic similarity between data attributes
• Session discovery by modelling stochastic periods in time series data

Built large scale Machine Learning solutions over TBs of data. Building topological spaces and manifolds with billions of nodes. Distributed clustering over huge distance matrices. Designing and architecting billion nodes graphs and Ontologies.

Was key architect in building a JVM performance monitoring tool AD4J in Auptyma that was acquired by Oracle in 2007. Presented this tool in GIDS (Great India Developer Summit) 2008. Performance specialist in Big Data technologies - Apache Hadoop, Apache Spark, Yarn, Redis, HBase Applying Machine Learning and Machine Intelligence to Big Data problems to do analytics at large scale