SUMMARY:

• 10+ years of experience in building Analytics practice
• 15+ years’ experience as practice evangelist for Deep Analytics, BI and Cloud Strategy
• GTM strategies / solution offerings using Cloud Adoption, Data Science & Machine Learning, Artificial Intelligence, Cognitive computing - Watson, Virtual Payments, Hyper ledger
• Work with Confidential leadership to grow analytics practice ( 80 MM to 150MM 2016 -17 ) while leading all aspects of team development, identifying, attracting and developing talent
• Develop and maintain relationship with key client stakeholders for lead generation, lead pursuit teams and assist in technical deep dive calls, participate and lead the proposal development process, contribute to proposal pricing strategies
• Lead business development activities with established accounts from Account based marketing plan, opportunity optimization, sales and value proposition artifacts build, RFI/RFP development, pricing and profitability modelling, and SOW creation
• Lead engagement planning and budgeting, mobilize and manage engagement teams, define deliverable structure and content, facilitate buy-in of proposed solutions from top client managers, direct on-time, quality delivery of work products, manage engagement economics, manage engagement risk
• Experienced with latest Big Data technologies (Hadoop, Apache Spark, Storm, Cassandra, Kafka, MongoDB, Data Lakes, No SQL Databases, Cloud Based Big Data)
• Knowledge in AI and machine learning frameworks, technologies & python libraries (TensorFlow, AWS AI, IBM Watson, MS Azure ML, pandas, numpy etc.)

TECHNICAL SKILLS:

Appliance & MPP Database: Netezza 7.0.x, Greenplum 4.2, Teradata 12, No SQL / GraphDB

Column: Cassandra, HBase, Vertica, Redshift, Neo4J

Document: Apache CouchDb, Marklogic, MongoDb

Reporting / Data Wrangling: Tableau 10, Qlikview, Alteryx, Trifacta, Paxata, Attivio

DI / DQ / ETL / ELT: Informatica, IBM (CDC), Talend

Statistical Modelling: SAS 9.3, SPSS Modeller premium, Python

CASE Tools: ER Studio XE3 (Data Architect), Erwin 7.x, Designer 9i

Big Data Platform: Hortonworks - HDP 2.7 (SolR / Lucene, Hbase, Hive, Kafka, Flume)

Industry Products (COTS): Teradata FS-LDM v10.0, Mantas (AML), MetricStream - (eGRC)

Architecture Concepts: TOGAF 9.1, Zachman, SOA, SaaS, PaaS, IaaS, Lambda

RDBMS: Oracle 10g, SQL Server, IBM DB2 UDB

PROFESSIONAL EXPERIENCE:

Confidential

Responsibilities:

• Wealth Management - Operational Risk, products and markets, retail brokerage, investment advisory programs, trade support, and capital markets
• Anti-Money Laundering, False Positive reduction for Case Management, SAR filing
• Payments & Cash management, RWA, Credit, Market, Financial Risk Management framework (Liquidity, Operational, Counterparty, Reputational Risk)

Confidential, Melon

Responsibilities:

• Global Party Account master setup, Market Data & Security Master ecosystem to support global regulatory frameworks implementation (BASEL, SCCL / LER, BCBS 239, MIFID2, CCAR)
• Marketing Digitization Strategy and DMP build for digital campaign effectiveness
• Investment, Personal, Retail Banking and Mutual Funds (Equity product platform), Risk Weighted Average calculation
• Wealth Management (Global & Personal)

Confidential

Senior Director

Responsibilities:

• Data science-based Confidential through internal product, trading & SF data integration
• Analytics platform migration from Greenplum to AWS, with existing analytics capability
• Strategy for Analytics platform development on Big Data (HDP 2.6) and AWS
• Leadership engagement for global party / account reconciliation, market data & security master integration to build Data Lake on Hadoop platform and support regulatory reporting framework
• Data Science based Counterparty Risk analysis & Machine learning on AML alert management to reduce “False positives” in retail bank transactions and better case management
• Solution architecting of Risk Weighted Average (RWA) leveraging Hadoop & AWS (S3, Redshift, EMR) and data science for model validation and adoption, to mitigate exposure

Confidential

Engagement Director

Responsibilities:

• Corporate IT data integration of 40+ SaaS apps on Hadoop and build “Executive Performance Dashboard” using Qlikview
• “Adverse Mortality” prediction for few product offerings using Cloudera 5.2 & “Reporting Platform Transformation” using Netezza 7.0.4 & Alteryx
• Claims Adjuster Notes analytics platform for P&C’s Data Science Team using Hadoop (HDP2), Solr/Lucene based faceted search, underwriting scorecard, OneclaimXML using Qlikview, Netezza
• “Retirement Risk Transfer” and “Financial Product valuation” for Retirement Solutions using Greenplum 4.2, ERWIN 9.5
• Build Customer 360 view using Informatica 9.1, HDP 2.0
• Build competency for Advance Analytics technology area (Netezza, Greenplum, Hadoop, Qlikview, Tableau) focused CoE group for Predictive analytics, Data Mining, Big Data analytics, Digital Strategy

Confidential

Enterprise BI Manager

Responsibilities:

• Managing big data initiative for data acquisition and reporting platform using Netezza 7, SAS 9.3, INFA 9.1, IBM CDC, Cognos 10.2, IBM Big Insight 2.1
• Building Enterprise Architecture Capability framework using TOGAF 9.1 principles

Confidential

Sr. Program Manager

Responsibilities:

• Portfolio lead in Banking & Capital Markets
• Investment banking reference data setup for Back Office (BO) activities using Teradata FS-LDM on Oracle, to follow a Global model for deal creation & closure
• Implement AML project using Oracle Mantas product for Trading repository
• BOT (Build > Operate > Transfer) of “Reporting Competency” in P&C insurance domain
• Close loop marketing engagement for pharmaceutical major, Print & Distribution analytics platform development for a media major
• Offshore Engagement Management