Mirza Minhaz Baig
AVP · AI Consultant · Data Scientist · 12+ Years Enterprise AI in Financial Services
Data Scientist and Data Engineer with 12+ years of enterprise experience in financial services. Specialist in Customer Data Platforms (BlueConic), data integration architecture, customer identity resolution, and real-time marketing activation. Proven track record delivering unified customer profiles and personalised engagement at scale across 70M+ customers. Three-time Synchrony CEO Award winner.
| CDP & Data Eng. | BlueConic CDP · Python · PySpark · SQL · SFTP Pipelines · Data Integration · Customer Identity Resolution |
| Marketing Tech. | Real-Time Segmentation · Audience Building · Trigger Campaigns · Marketing Automation · Personalisation · A/B Testing |
| Cloud & Analytics | Azure · Databricks · Snowflake · BigQuery · Power BI · Tableau · LangChain · LangGraph · GPT-4 |
Synchrony Financial · Hyderabad, India
- Lead data integration architecture between BlueConic CDP and Synchrony's digital platforms (Marketplace, Vista, DApply, Amplero) — delivering a unified 360° customer view across all touchpoints
- Design and implement online and offline data ingestion pipelines, including SFTP-based feeds for profile enrichment, unifying behavioral, transactional, demographic, and engagement signals at enterprise scale
- Own customer identity resolution processes providing a single authoritative customer view for 70M+ account holders across Synchrony's multi-product ecosystem
- Enable real-time marketing activation through AI Workbench (AIWB) and Connections integrations — powering trigger campaigns for abandoned applications, product browsing, category search, and retention
- Drive audience segmentation and personalised marketing strategies via CDP capabilities, improving targeting precision and campaign effectiveness across Synchrony's MarTech stack
- Three-time CEO Award winner (2020–2022); LEAP High-Potential Leadership Program participant
Citigroup · Bengaluru, India
- Led 8-person data science team delivering credit risk and customer acquisition models for APAC markets
- Improved credit bureau score model AUC by 12%; automated dashboards reducing analyst effort by 60%
Genpact · Bengaluru, India
- Predictive models for US mortgage risk; reduced default rates by 8% for global BFSI clients
- Automated month-end close reporting saving 2,000+ analyst hours annually; promoted twice in 4 years
Three-Time CEO Award(2020–2022) · LEAP High-Potential Leadership Program(2022) · Certificate of Excellence — Genpact (2019)
“AI-Driven Data Analytics for Enterprise Systems” — First Author · Springer · Peer-Reviewed · 2021