Samir Shah

About Samir Shah

Samir Shah has 21+ years of extensive experience in BI transformation programs including Data and Analytics Strategy, Data Management solution implementation, Business Analytics, Digital Banking and Client Relationships in Banking and Finance domain. Extensive work experience in designing DW & BI solutions to meet Customer Reporting and Analytics need based on Enterprise-wide Data store on traditional RDBMS, Hadoop and analytical Cloud platforms. He has delivered multi-layer data management solutions to Global Banking clients in US and India market regions with multi-located team size of 100+ people.Specialties:1. Data and Analytics across Banking value chain2. Analytics Transformation Program execution3. EDW & BI Strategy4. Data Management SME - DW & BI Platforms (Traditional, Big Data & Cloud Ecosystem)5. Data Management solutions - Enterprise wide Data Store implementation, Cloud Migration, Hybrid Data Lake solutions, Platform Migration, Infrastructure/Tool uplifts, Legacy Modernization 6. Data Analytics: Machine Learning, Sentiment Analysis, Customer Behaviour, Anomaly Detection, Retail NTB Analytics, Digital channel analytics7. Anomaly Detection platform to help solving revenue leakage problems and Financial reconciliation through transaction monitoring8. Program ManagementTechnology Skills: 1. ETL Tools - IBM Infosphere Suit (Datastage, Quality Stage, Information Analyzer, Metadata workbench,Business Glossary), Informatica PC, SAP BODS, ODI, SSIS, Talend, ADF, Glue, pyspark2. Database - Oracle, SQL server, DB2, Netezza, Mainframe, Vertica, Sybase IQ, Hive3. Hadoop Distribution- MapR,HDP, Cloudera4. Cloud platform - AWS, Azure5. CDC - Sybase RS, Informatica PX, Oracle GG6. In-Memory Tools - Kognitio, Platfora7. Scripting Languages - Unix, Pig, Hive, Perl, Python8. Scheduling tools - Cron-tab,Oozie,Control-M9. Visualization Tools - Tableau, Power BI, SAP BO, Qlik, Cognos, SSRS, MicroStrategy, BO Lumira

Experience

1. Partner

   PwC India

   Jul 2025 — Present · Mumbai, IN

   Primary Role - Banking Data and Analytics LeaderCompetency- Data & AnalyticsFocus Sector - Financial Services - BankingObjective - Driving Data driven insights proposition for CXOs to support control and growth initiatives. a. Program includes running a large Data modernization across the enterpriseb. CIO/CTO/CDO driven technology transformation to democratize information to Business and Regulatory Unitc. Outcome enables business analytics to Retail, Corporate, Treasury and Digital Business units. d. Program enables CDO/CMO to run personalized campaigns and drives conversion upside QoQ basise. Regulatory report automation makes compliance error free and gives ability to respond to adhoc RBI report demands.f. Data lakehouse implementation includes Banking data model design which is contextual to Indian Banking industry and houses all major data points to create foundational data layer for reporting, analytics and automation. g. Information in the form of files/reports/dashboards/alerts/apis/downstream system feeds to be consumed as per the needs of the end user in varied frequency - Monthly/Weekly/Daily/Intra-day/real-time.h. Data Governance, Data Quality, Data Lineage, Business Glossary, Data Observability along with Master Data management becomes the ecosystem level hygine to create data trust.Secondary Role – Anomaly Detection Platform OwnerCompetency- Data & AnalyticsFocus Sector - Sector agnostic (Financial Services, Insurance, Retail, Pharma)Objective - Enabling CFO’s with productivity and revenue leakage solution using GenAI platform.Program includes deployment of LCNC digital solution within client environment - On-premis/Cloud to enable Fincon and finance unit for identifying and remediating reconciliation breaks and helps avoid revenue leakage.

Education

• University of Mumbai

  Bachelor of Engineering (B.E.), Electronics Engineering

  2001 — 2004

• Vasantdada Patil Pratishthan’s College of Engineering and Visual Arts (VPPCOEVA)

  Bachelor of Engineering (B.E.), Electronics

  2001 — 2004

Skills

• Tableau
• Software Development
• Information Analyzer
• Python
• Datastage
• Hive
• Integration
• Oracle Sql
• Shell Scripting
• Unix
• Data Modeling
• Quality Stage
• Requirements Gathering
• Big Data Analytics
• Informatica
• Pl/Sql
• Xml
• Sentiment Analysis
• Pig
• Project Management
• Oracle
• Requirements Analysis
• Db2
• Team Building
• Management
• Business Intelligence
• Pre-Sales
• Cognos Reportnet
• Data Warehousing
• Vertica
• Etl
• Enterprise Architecture
• Estimating
• Sdlc
• Apache Pig
• Solution Architecture
• Big Data
• Team Leadership
• Dashboard
• IT Strategy