Managed data operations for large corporations such as BMO, HCSC and True Value
Directed businesses in their data journey aligning data vision and roadmap to C level priorities
Spearheaded large implementations in program manager, product owner and solutions architect capacities
Optimizing S&OP - Sales & Operations Planning leveraging 1st and 3rd Party data
Improving S&OE - Sales and Operation Execution by tuning parameters in ERP and MES systems
Increasing OE: Operational Efficiency through Smart and Robotic Process Automation - RPA
Increasing CLTV - Customer Lifetime Value through Customer 360 capturing end-to-end customer journey
Improving OEE - Overall Equipment Efficiency through event based benchmarking and analysis of IoT data
Reducing CAC - Customer Acquisition Cost through data-driven lead generation and marketing campaigns
Increasing RPR - Repeat Purchase Rate through customer segmentation and sentiment analysis
Increasing Product Profitability by deploying AI/ML based pricing models
Streamlining Marketing Campaigns through process digitization and customer segmentation
Digital Transformation
Customer 360
Robotic Process Automation
Self Serve Business Analytics - SSBI
Product Management - Data Product
Masters of Science, Computer Engineering - University of Illinois at Chicago
Computer Engineering Diploma – CDAC [Center for Development in Advanced Computing], India
Bachelor of Engineering, Control Systems - Vivekanand, Mumbai University
Data Science Certification in Python - 2021
Certified SCRUM Master - 2020 to 2022
Certified SCRUM Product Owner - 2020 to 2022
Introduction to Neo4j - 2025
Databases: SQL Server, Netezza, MongoDB, Neo4j
Languages: Python, dbt
Visualization: PowerBI, Tableau and D3.js
Data Platforms: Datameer, Dataiku, Pentaho
Data Ingestion: ADF, Matillion, Fivetran
Data Lakes: Snowflake and Databricks
Data Governance: IBM Infosphere and Collibra
Software Vendors: Salesforce, SAP and Oracle
Cloud Vendors: AWS, Azure and GCP
Data Strategy
Data Operations
Master Data Management
Data Governance
Data Analytics
Data Catalog and Lineage
Technology Adoption
Agile Methodologies
SCRUM
DevOps