Currently working on implemeting a distributed Data platform to provide near realtime liquidity of the firm. It supports easy extraction of data at any granularity.

Designed and developed an API that uses graph travesrsals to link transactional data coming from different system using Data Vault modelling.

Realtime anomaly detection for the firms liquidity.

Built an Ascociation discovery engine that calculates similarity between any two random datasets and provide metrics for matching.

Developed a java application that calculates interest and interact with the payment plaform using JMS queues.

Actively involved in mentoring junior engineers, interns.

Active member of recruiting community in the technology division.

Technologies used: Java, Spark, MongoDB, HDFS, Python Pandas, Dropwizard

Data Science Intern-

Time Series Analysis of unstructured data.

Machine Learning to predict failure of a server, based on syslog.

Backend developer, used Java with various relational databases.

Optimized slow performing queries

Worked with multiple clients with different technology stacks

Involved with complete SDLC