Regulatory Framework
Major European Bank
Big Data Ecosystem Deployment
Deployment of a Regulatory Framework covering multiple business lines at the Bank to service Regulatory initiative MIFID II. Project involved developing Functional and Technical Architectures for the initiative. Along with resource planning and delivery management of the Project. Leveraging Agile Development methodologies and SDLC principles to develop a Big Data based Framework.
Technical Deployment covered Hadoop Layers, In-Memory Caches, Cassandra and Spring Framework, for facilitating Front to Back Pipelines, using Kafka, Spark and Java for Regulatory calculations and Reporting and Visualization leveraging Kyvos and Tableau.
Human Capital for the project involved 110 Personnel over the project lifecycle across North America, Europe and South Asia.
Big Data Framework
Major European Bank
DELL EMC Big Data Ecosystem Deployment
Big Data Deployment for a Major Banking Client on Dell EMC Isilon Cluster( 5 * Isilon X410 nodes) in a physical Linux environment on 10GbE infrastructure as follows:
Big Data Framework
Rhel 7, CDH 5.12.1, SAS, Spark 2.2, Jupyter, Rstudio and GPU’s for processing.
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Isilon Cluster
- 5 * X410-4U-Dual-128GB-2x1GE-2x10GE SFP+-68TB-1638GB SSD
- OneFS 7.2
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Server Infrastructure
- 5 * Dell 730
- 2 * 8 Core CPU @2.40 GHz
- 2 * Dual Port 10Gb Brocade 1020 CNA
- 512GB RAM
- Red Hat Enterprise Linux 6.8
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Network
- Brocade VDX6740
- 10GbE
- MTU 1500
Strategic Central Infrastructure
International Financial Institution
Big Data Infrastructure Review
Complete Architectural Review of the Strategic Central Infrastructure for Risk, P&L and Post Trade system. A high-level assessment designed to evaluate the architecture, technology, practices and procedures related to the performance, stability and optimization of the Hadoop platform. Recommended both short-term and long-term changes to achieve immediate and strategic results.
The assessment focused on making recommendations to optimize the environment through analysis of key areas such as People, Processes and Technology.
Recommendations included detailed architectural framework for On-Premise/Hybrid Cloud Based implementations, Enterprise Data Lake, and a base framework to establish a Data Science Practice at the Bank.
Fraud Detection AI Framework
Top Ranked Payment Network in the World
Banking and Payment Services
Design and Deployment of Credit Card Fraud Detection Artificial Intelligence Framework detecting transactions with more accuracy and expanded geographic location coverage.
Using Cloudera CDH 5.10 big data platform, Apache Spark with Big DL for credit card fraud detection.
Historical data is stored in Apache Hive data pre-processing is done with Apache Spark SQL.
Docker and Container Technologies
Fortune 500 Organizations Internationally
Big Data as a Service Platform
Design and Deployment of Big-Data-as-a-Service software platform using Docker container technologies to make it easier, faster, and more cost-effective for organizations of all sizes to deploy Hadoop, Spark, Tensorflow, H2O, R and other Big Data environments – whether on-premises or in the public cloud.
