Summary
Overview
Work History
Education
Skills
Websites
Timeline
Generic

Palash Ghosh

Kokapet

Summary

With a proven track record in data strategy, architecture, and consulting, I excel at transforming complex data landscapes into actionable insights. My expertise spans marketing analytics, customer analytics, and fraud analytics, leveraging extensive experience in data engineering, data governance, master data management, data modeling, data security, data science, and generative AI. I adeptly utilize cutting-edge tools and technologies to craft comprehensive data strategies and provide tailored data & analytics consulting services. I am dedicated to helping organizations harness the full potential of their data.

Overview

19
19
years of professional experience

Work History

Data & Analytics Leader

Cognizant
12.2020 - Current
  • Consulting: Discovered, assessed and recommended strategic Enterprise data & analytics transformations for large Canada based life insurer, recommendations included technology large scale transformations to modernize data & analytics products and solutions
  • Marketing analytics: Helped a major banking institution based out of US to build and execute pre, post and inflight campaign solutions such Multi Touch attribution, propensity modeling, market mix modeling, incrementality, brand lift studies. helped the bank increase their conversion by 10%
  • AI/ML & GenAI: architected and built master data cleansing solution (customer & supplier) using a RAG model, setup the model ops COE for a banking customer (experimentation, dev & deploy & governance), help built RAG models to validate and verify addresses of vendor master data for a financial institution
  • Cloud COE leadership: Setup and operationalized the cloud COE for the practice, the charter of the COE is to build cloud based data and analytics capabilities, build a deployable pool of Cloud - data engineers, data architects
  • Customer analytics: help setup end to end customer analytics which included customer data ingestion (1p, 2p, 3p data, CRM data, streaming data) , helped build the customer value chain (CLTV, customer segmentation, customer nurturing (personalization))
  • Data architecture: led the data architecture team for the practice and have architected data pipelines, storage and enablement for major BFSI clients on the cloud and on-prem, helped the clients to transform legacy data architectures to modern data architecture and stack
  • People management: manage and lead a robust team of 100+ data professionals, encompassing data engineers, data scientists, and data analysts.
  • AWS practice leadership: lead the AWS initiatives for the practice to enable AI/ML, GenAI, data architecture and data analytics experimentation and capability build, built a secure AWS infra conforming to the well architected framework - Security (least privileges), highly available and cost optimal environments
  • Revenue stream exceeding $10 million
  • Stakeholder Management: Proven track record in account and stakeholder management, ensuring strong, enduring relationships with executive leadership of fortune 500 companies., success story include growing an BFS account from 700k revenue to 3 million within 2 years.
  • Presales & Solutioning : RFP response leadership for the practice specifically in the BFSI areas, closely work with the SLS (Sales) and CP (Client partner) to create compelling and comprehensive pointed and targeted responses to the client problem statements

Senior Manager - Data & Analytics

MetLife
01.2020 - 12.2020
  • Designed and delivered Dental fraud use case for MetLife's NA business resulting in $4M value by optimally identifying fraud
  • Designed the operationalized the MLOps team to build model pipelines, automated deployments and periodic and ondemand refreshes
  • Helped build the model ops and model efficacy team for the hyderabad centre (MetLife Garc)
  • Managed a team of data scientists and mlops engineers
  • led the data management and feature management initiative for new generations of models

Data & Analytics Architect

JPMorgan Chase & Co.
06.2018 - 01.2020
  • Design & Built data domain categorization & classification model to identify data alignments by business unit, process and consumption - ensemble of rule based engines and ML models were built for the classifier
  • Participate in defining and scoping data retention and data archival policies
  • Designed and Built Operational risk data warehouse
  • helped migrate the employee hierarchy data model to the cloud
  • Built an E2E pipeline/workflow to create data archival ticket, approval notification generation, source connector (File system | database | object store) & archiver - this led to 3 FTE worth of savings for the business unit
  • Managed the stakeholder communications and collaboration
  • Managed a team of data architects and data analysts


Data Architect

Franklin Templeton
04.2017 - 06.2018
  • Design and build the Enterprise data models for instruments - Cash, Equity and others
  • Define entities and attributes
  • Perform Data Model management & Governance
  • Help design and build data pipelines to source, ingest and enable instruments data across the business lines
  • Define STP, Transformations and Data guardrails
  • Manage the entity and attribute catalogs, lineage and distribution
  • Perform data stewardship to effectively govern and control data entities & attributes

Technology Lead- Data Analytics

JPMorgan Chase
11.2016 - 04.2017
  • Evaluated the as-is operational risk data warehouse and recommended steps to optimize
  • Designed new Facts & Dimensions to capture Operational risks KPI's and matrices
  • Strategized and developed the KPI's and metrices to capture operational risk and issues scattered across hierarchies
  • Managed a team of 15 Data analysts and Engineers
  • Collaborated with stakeholders to define technical requirements, ensuring alignment with business objectives.
  • Increased team productivity through effective collaboration, clear communication, and regular progress updates.

Technology Lead

Wells Fargo
02.2013 - 11.2016
  • Delivered comprehensive technical documentation including architecture diagrams, design specifications, and user guides for easy reference
  • Evaluated emerging technologies and recommended strategic solutions to build optimal business data vault and business data warehouse for the HR practice
  • Designed and built data pipelines to capture historical L&D and payroll data in Data Vault
  • Optimized the catalog of queries used to fetch employee data, L&D and payroll data from multitude of sources
  • Recommended and helped migrate project documents to confluence and helped the team imbibe a culture of effective documentation
  • Collaborated with stakeholders to define technical requirements, ensuring alignment with business objectives.

Analyst

Tata Consultancy Services
05.2011 - 02.2013
  • Working as an oracle spatial analyst, primary role included design and analysis of infrastructure spatial data for a major telecom major
  • optimized packages and procedures by implementing advanced plsql and sql constucts like collocated inline views, distributed queries etc
  • procedure and sql optimization helped rolling out compensation within 2 days of execution of compensation cycle, before optimization the roll outs were done only after 2 weeks of compensation module execution
  • Designed and developed the telecom customer warehouse for a Belgian telecom giant


Software Engineer

Infosys
01.2006 - 05.2011
  • Developed automated compensation letter distribution for a major european bank, helped them migrate from a paper based compensation letter distribution
  • Managed and Monitored database routines for a cards business major
  • maintained and monitored the data pipelines for the cards major
  • championed sql and plsql programming

Education

Bachelor of Technology - BTech - Computer Science

Jawaharlal Nehru Technological University
01.2005

Skills

  • Amazon Web Services (AWS) - Glue, Managed Kafka, Athena, RDS, SQS & SNS, IAM, S3, EC2, Redshift, IAM, Cloudformation, Security, KMS, STS, SCP, AWS organizations
  • Data Architecture - Data wareshouse, data lake, lakehouse architecture, Lambda & Kappa architectures (for batch and streaming data)
  • Data security - data security at rest and transit, access level security (IAM, RBAC and PBAC), masking and obfuscation, encryption strategies
  • Data Engineering - pyspark, aws glue, streaming data (kinesis, kafka)
  • Python
  • Data modeling - dimensional modeling, DSS, OLTP, OLAP
  • GenAI - Langchain, prompt engineering, RAG, OpenAI, AWS Bedrock, Hugging face
  • AI/ML - Machine learning
  • Presales support
  • Stakeholder management
  • Delivery management
  • RFP solutioning
  • Portfolio management
  • Capability building and staff mentoring
  • Revenue and P&L management

Timeline

Data & Analytics Leader

Cognizant
12.2020 - Current

Senior Manager - Data & Analytics

MetLife
01.2020 - 12.2020

Data & Analytics Architect

JPMorgan Chase & Co.
06.2018 - 01.2020

Data Architect

Franklin Templeton
04.2017 - 06.2018

Technology Lead- Data Analytics

JPMorgan Chase
11.2016 - 04.2017

Technology Lead

Wells Fargo
02.2013 - 11.2016

Analyst

Tata Consultancy Services
05.2011 - 02.2013

Software Engineer

Infosys
01.2006 - 05.2011

Bachelor of Technology - BTech - Computer Science

Jawaharlal Nehru Technological University

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Palash Ghosh