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Nirmalya Banerjee

@nirmalyabanerjee

Senior Data Scientist and Team Lead at Ford, building CRM analytics and AI tools that turn customer data into campaign decisions.

Germany

Message

At Ford, I’ve worked across customer and marketing analytics, CRM strategy, data products, and team leadership in Germany and India. I currently build a multi-agent Text-to-SQL RAG pipeline with LangGraph and FastAPI to deliver policy-filtered BigQuery analytics across CRM datasets.

I developed four customer modeling frameworks for EU markets, covering fleet segmentation, electrification opportunity, engagement propensity, and customer loyalty. As project lead, I directed three analysts building Qlik Sense campaign tools and helped transform web clickstream data into reusable CRM analytics datasets adopted by enterprise users.

Earlier at Ford, I built Python models for sales attribution and next-best-purchase propensity, along with an aftersales churn model and dealership analytics tools. I’m a Google Cloud Certified Professional Machine Learning Engineer, and I spoke at eTail Germany about customer data, personalization, privacy, governance, and campaign strategy.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist & Team Lead

Current

Ford Werke GmbH

Oct 2022 - Present (3 years 11 months)

Building a multi-agent Text-to-SQL RAG pipeline using LangGraph and FastAPI, and developing customer modeling frameworks for EU markets. Leading a team of analysts to build enterprise Qlik Sense tools and serving as CRM analytics partner for Germany.

LangGraph fastAPI BigQuery SQL Python Qlik Sense A B Testing Customer Segmentation CRM Analytics Data Engineering

Deputy Manager

Ford Motor Pvt. Ltd

Apr 2022 - Sep 2022 (5 months)

Automated end-to-end CRM data workflows for EU markets, partnering with regional CRM teams to deliver precision audience segmentation leveraging models, BI decision support, and test-and-learn campaign optimization.

CRM Analytics Data Workflows Segmentation BIツール Test and Learn

Senior Data Scientist

Ford Motor Pvt. Ltd

Jul 2020 - Mar 2022 (1 year 8 months)

Developed a Python-based deterministic entity-resolution engine using customer PII to link marketing leads to completed vehicle sales, improving sales attribution accuracy by 20% and establishing a core data pipeline later adopted at the enterprise level.

Python Entity Resolution Data Pipelines PII Sales Attribution

Data Scientist

Ford Motor Pvt. Ltd

Aug 2019 - Jun 2020 (10 months)

Built a multi-class XGBoost Next-Best-Purchase propensity model in Python to predict next-vehicle propensity; partnered with CRM teams to execute model-driven A/B tests, optimizing personalized offers and significantly improving customer response and conversion rates.

Python XGBoost Propensity Modeling A B Testing CRM

Analytics Modeler

Ford Werke GmbH

Aug 2018 - Jul 2019 (11 months)

Built and deployed an XGBoost Predictive Aftersales Churn Model in Python targeting service defectors across EU Big 5 Markets, and developed a 'One-Stop-Shop' Dealership Traffic Dashboard in Qlikview spanning 20 EU markets. Also built a dealer level KNN synthetic control in Alteryx to evaluate a vehicle health check program.

Python XGBoost Churn Modeling Qlikview Alteryx KNN Synthetic Control Dashboarding

Data Analyst | Modeler

Ford Motor Pvt. Ltd

Aug 2016 - Jul 2018 (1 year 11 months)

Built a CRM Campaign Dashboard for Europe to analyze, track and evaluate aftersales campaigns, and automated Aftersales pricing evaluation across 6 global markets using SAS, ensembling ARIMAX, Holt-Winters, and Moving Average time series models.

SAS Time series Forecasting ARIMAX Holt Winters Moving Average Dashboarding CRM Analytics