SUMMARY:

• Successful Big Data Cloud Strategist, Big Data Evangelist, Data Scientist, Disruptive Thinker and Thought - leader leveraging business, technology, strategic leadership and management insights to transform business vision to business value.
• Extensive background in championing Business Technology vision, Enterprise Data Management, Data Science over cloud, Data Governance, ILM. Mile wide and mile deep providing data monetization.
• Built my own JVM (Java Virtual Machine). Worked with Dr. Ramnath Vaidyanathan on developing widely used R packages - Shiny and knitr.
• Some summaries of his white papers/ presentations/ demos or talks can be shared on request.
• Well-known speaker at industry conferences like Strata-Hadoop, NAFIS, Tradetech, Cloud Foundry, Columbia University and Harvard Business Club.
• Open to Senior roles in Data Science, Big Data, Cloud and Analytics. Experience building profitable cloud data products-whiteboard to launch.
• Working continually with C-level executives, very senior management on Big Data over Cloud, analytics.
• Built 30-60-90 day action plans/roadmaps and executed/blueprinted them for multiple firms to help reduce TCO.
• Leading Global Data Science programs, strategizing Big Data Cloud architectures and Cloud migration, jumpstarting global practices, leading complex turnarounds teams with focus on data monetization.
• Advisor to pharma companies, banks, retailer, insurance, one Hadoop distro for Data Science with productive results. Mentored organizations on Big data Cloud Analytics using advanced statistical and machine learning models.
• Seven LIVE BIG DATA implementations and two BIG DATA CLOUD implementations plus multiple POCs.
• Transformed and executed multiple asset classes risk frameworks (credit, market, counterparty) - GRAIN, RICE, Insights for Valuation, MoLAN applications etc. Cross savings across multiple organizations exceeded 55 mm.
• Achieved business savings > 40 mm leading big data business strategy ideation and Cloud Data Lakes, data science, cloud initiatives for storage, risk management, regulatory reporting, valuation, analytics and fraud detection.
• Unlock the Potential by getting insights “Turning Data to Dollars in the Value Chain”.

CORE COMPETENCIES:

Strategy planning and execution, Executive team leadership, CoEs, jumpstarting global practices, optimizing operations, leading complex turnarounds with focus on ROI, building strong relationships with businesses.

TECHNICAL SKILLS SUMMARY:

Data Lake and Storage, Cloud Computing and networking: Hadoop, security and datalake components using MapR, Cloudera, Hortonworks, Pivotal. Containers/PaaS-Docker, Puppet, Chef, Heroku

Cloud Foundry-Pivotal, IBM Bluemix: Cloud Computing- Amazon- VPC, EC2, EMR, S3, Autoscaling, RDS, Redshift, Lambda, Cloudwatch, Kinesis, IAM, Athena, Glue, Hortonworks Data Cloud Azure- Virtual machine, batch compute, traffic manager, data lake store, StorSimple, SQL, Redis, HDInsight, data factory, key vault, Azure monitor

Data Science, text analytics and NLP: Implementation of various algorithms for time series, Random forests, SVM, SVD, K-clustering, LDA, Naïve Bayes, semantics, ontology, Ensembles, dimensionality reduction. Lexalytics, Provalis, R, R studio, Revolution R, Azure machine learning, tensorflow, MLlib, Data Lake analytics Realtime Analytics -Storm with Trident, Spark Streaming, Flink Search engines -Solr, ElasticSearch, Lucene

Columnar Databases and visualization tools: Vertica, Greenplum, MongoDB, Redshift, Cassandra, Tableau, Pentaho, Qlikview, Datameer, Platfora, SAS, Oracle, Sybase, SQL

Messaging: Tibco, MQ Series, Webmethods, SeeBeyond, JMS, Kafka, Kinesis

Java methodologies: Core Java, J2EE, Spring, Hibernate, Maven, LDAP, SOA, SOAP, Jenkins, Nginx

Languages: K, R, Java, C++, VB, XML, C#, UML, C, SQL, MatLab

MDM: Informatica-Siperian, IBM-Infosphere, Talend, Oracle

Data Governance: Collibra, Pentaho, Oracle

Data Quality, lineage: Adaptive, trillium, miosoft, redport, informatica

Data Integration: Miosoft, IBM, informatica, SAS, trillium, atacamma, talendArchitecture /services TOGAF, Zachman, EA, SOA, CostXpert, grid computing, SaaS, Cloud computing

Business Modeling: Provision, ARIS, Bwise, Fuego, Rational, RUP, RSA, UML, TogetherSoft, Requisite Pro

Methodologies: Agile, Scrum, Extreme Programming, RUP, CMMi, Waterfall, OOM, SOA, SDLC Specific experience on AWS and Azure Cloud

AWS: Applications=auto scaling, Athena, cloudformation, CloudFront, CloudHSM, CloudSearch, CloudTrail, CloudWatch, Config, Data Pipeline, Database Migration Service, Direct Connect, Directory Service, RDS, Redshift, Kinesis Database migration services, snowball, snowmobileNetworking=VPC, CloudFront, Route 53, Direct Connect, ELB

Monitoring: CloudWatch, CloudFormation, CloudTrail, Config, trusted advisor, Personal Health dashboard Security, identity and Compliance=IAM, KMS, Inspector, Cloud HSM, Directory Service, WAF

Analytics: EMR, CloudSearch, Data Pipeline

Compute: EC2, VPC, Lambda, autoscaling, ELB

Storage: S3, Glacier, EC2, HDFS, EMR FS

Messaging: SQS, SES, SNS, Asset discovery, behavioral monitoring, vulnerability assessment, security information and event management(SIEM), intrusion detection, Cloud and data security products, Data protection and data privacy = cryptography, encryption, data loss control, Cloud access security brokers, cloud governance software, virtualization products Alien vault, alert logic, blue coat systems, Forcepoint, cipherCloud, Entrust, skyhigh networks, safeNet, protegrity, vormetric, Dataguise, voltage, vmware, Citrix, nexusguard, trendmicro, Akamai, sailpoint

VMware: vCloud Automation Suite (vCloud Director, vCloud Connector, vCenter Operations Manager). Azure

Compute: Virtual machine, scale sets, Azure container service, Azure container registry, Functions, Service fabric, Batch

Networking: Load balancer, VPN gateway, Traffic manager, ExpressRoute, CDN, Network watcher

Storage: Data lake store, StorSimple, Backup

Databases: Data factory, DocumentDB

Analytics: HDInsight, Machine learning, Revolution R, data lake analytics, data lake store, data factory, analysis services

Security: Security center, Key vault, Azure active directory, multifactor authentication

Monitoring: Log analytics, Azure monitor, Scheduler, Resource manager

PROFESSIONAL EXPERIENCE:

Confidential

Head of Big Data and Cloud Analytics

Responsibilities:

• Responsible for enterprise architecture, big data, cloud computing product architectures, implementation and delivery.
• Spearhead the big data and data science initiatives for life, group and individual insurance using agile and scrum.
• Strategize and lead the integrated big data cloud platform for risk management-LRM, Reinsurance management, loss control management. Policy account and plan management, Customer management, Product management.
• Developed the data strategy and roadmap for the cloud storage, security framework, big data analytics platform.
• Responsible for implementing data mining and machine learning solutions with budget, time and resource constraints.
• Develop cloud reference architectures, governance policies, security models, best practices and socialize the solution.
• Lead the big data migration to cloud and go-live initiative, data governance, enterprise data management.
• Strategized modeling-linear regression, MARS and SGBM algorithms implementation using R.

Confidential

Executive Director, Enterprise Data Management and Big Data Analytics

Responsibilities:

• Led the development of Confidential Predix Engine - the industrial internet with Harel Kodesh for industry solutions in Analytics and Big Data.
• Member of the world recognized Confidential EMLP - Executive Management Leadership Program grooming new leaders.
• Conceptualize, envision and build the multi-generation targeted EDM strategy and roadmap using Big Data.
• Socialize different data science models with group CIOs and CDOs. Developed strategy for cloud /virtualization migration and implementing best practices. Define the roadmaps for different solution portfolios.
• Accomplish the roadmap, framework, implementation strategy for data lake, data governance, data architecture.
• Strategize processing apps and calculation engines for Risk, Treasury, Finance, Commercial. Establish a data-driven culture with BI reporting, visualization and analytics.
• Team with MDs, BU CIOs, EDLs, data governance stewards from business, risk, finance, operations bringing a change transformation and evangelizing technology acceptance.

Confidential

Sr. Global Program Director-Big Data and Analytics

Responsibilities:

• Collaborate with IT leadership, senior management, business leaders and decision-makers to define target state big data architecture, PaaS framework, data science including data governance and integration.
• Commerce Model: Pioneer the 40 mm+ program from Discovery-to-Decision Making using operational insights with minimal latency via visualization. Strategized a bi-temporal database, pioneer prime message bus, GRAIN, RICE risk and valuation engines with DSL.
• Explore the cloud initiative for the shared management platform for data quality, master data management(MDM), metadata management, data dictionary and cross-BU customer analytics.
• Conceptualization to realization of cloud platform with big data and explore analytics over cloud.
• Envisage and realize the Data Governance framework portfolio with: Data profiling, Data quality, Enterprise Business glossary, MDM, RDM and ILM.
• Orchestrated the SDLC and PLC implementation initiatives for all ISGT and CTS programs-a global rollout.
• Was recognized and rewarded for the pivotal role in realizing significant competitive advantage and unbeatable customer satisfaction from transformation of this magnitude.
• Serves as base model/common data infrastructure for Wealth Management - modeling, analytics, decision-making.
• Created an efficient shared services model with 6% increase in yoy business revenue and 2% increase in generating new customers using data science algorithms including PCA, LDA, LSR method.
• Enhanced the customer fraud detection and risk protection system with 60+ global team members.
• Manage the global architecture team, formulate technology architecture, patterns and standards.
• Led effective use of dimensionality reduction, anomaly detection and clustering data science algorithms improving model accuracy to 80%.
• Envisioned and implemented demand forecasting models working with vendors enhancing forecast accuracy.
• Formulate the Dodd Frank regulatory solution using Big Data. Built the elements for effective data governance and data architecture, metadata, audit, scorecard and reporting.

Confidential

Sr. Program Director-Data Science & Analytics

Responsibilities:

• Outstanding relationship builder, managed business expectations and gained the trust and respect of managing directors, strategic partners.
• Set direction aligned to the company’s data science strategy, applying external and global perspective.
• Built trade capture and STP system recording 2.3B+ option ticks daily reducing TCO by 15 mm/year using a unique multi-scale simulation technique and complex data science analytics.
• Managed the data science program building an investment recommendation platform based on different sources.
• Leveraged several sources of customer data transforming them into new products, upsell models, cross-sell models and other predictive algorithms to hedge funds and pension funds. Additional revenue generated=300 mm.
• Spearhead the global IT strategy for market, credit, operational, counterparty and liquidity risk.
• Manage valuations, pricing, quantitative risk management collaborating with business.

Confidential

Vice President, Lead Strategist and Chief Data Architect

Responsibilities:

• Responsible for the strategy, implementation of risk management and real-time market data systems.
• Revamped the BIG Reference Data Model and reconciliation across asset classes at Confidential initiative.
• Led development of trade analysis extension models relying on decision trees, random forest, logistics regression.
• Led the successful implementation of Molan-Mortgage and Loan analysis Datawarehouse system.
• Spearhead future state trading architecture for equities and fixed income. Led development of MDM - resulting in shared services model savings of $22 mm+. Built an Enterprise Data warehouse.
• Responsibilities included roadmap, development and implementation of real-time risk and pricing models, maintenance and development of analytical calculation framework.

Confidential

Vice President, Advanced Technology

Responsibilities:

• Instrumental in transforming Confidential from a product-led organization to a 92% services-led organization.
• Transform the operations of a major bank, leading a team of 70+ employees using an inbuilt datawarehouse.