# Nirmalya Banerjee

Nirmalya Banerjee is a remote worker on Himalayas, Senior Data Scientist & Team Lead at Ford Werke GmbH, based in Germany.

Source: https://himalayas.app/@nirmalyabanerjee

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

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Germany |
| Authorized to work in | Germany |
| Salary expectations | 95k+ EUR |
| Job categories | Data Scientist, Analytics Manager, Machine Learning Engineer, Marketing Analyst, CRM Manager |
| Skills | Customer Analytics, Marketing Analytics, CRM Analytics, Customer Segmentation, Propensity Modeling, Churn Modeling, Campaign Measurement, Marketing Attribution, A B Testing, Cohort Analysis, Loyalty Frameworks, predictive modeling, Agentic AI, Generative AI, Large Language Models |

## About

```text
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

### Senior Data Scientist & Team Lead (current)

Ford Werke GmbH. Oct 2022 - Present

```text
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.
```

Skills: 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

```text
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.
```

Skills: CRM-Analytics, Data-Workflows, Segmentation, BIツール, Test-and-Learn

### Senior Data Scientist

Ford Motor Pvt. Ltd. Jul 2020 - Mar 2022

```text
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.
```

Skills: Python, Entity-Resolution, Data-Pipelines, PII, Sales-Attribution

### Data Scientist

Ford Motor Pvt. Ltd. Aug 2019 - Jun 2020

```text
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.
```

Skills: Python, XGBoost, Propensity-Modeling, A-B-Testing, CRM

### Analytics Modeler

Ford Werke GmbH. Aug 2018 - Jul 2019

```text
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.
```

Skills: Python, XGBoost, Churn-Modeling, Qlikview, Alteryx, KNN, Synthetic-Control, Dashboarding

### Data Analyst | Modeler

Ford Motor Pvt. Ltd. Aug 2016 - Jul 2018

```text
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.
```

Skills: SAS, Time-series-Forecasting, ARIMAX, Holt-Winters, Moving-Average, Dashboarding, CRM-Analytics

## Education

### Madras School of Economics

Master of Science, Economics. 2014 - 2016. Grade: 8.7/10 (Distinction)

```text
Master of Science in Economics with a CGPA of 8.7/10, awarded with distinction.
```

### Scottish Church College, University of Calcutta

Bachelor of Science, Economics. 2011 - 2014. Grade: 1st Class

```text
Bachelor of Science in Economics with Honours, awarded First Class.
```

## Tech stack

- SAS
- Dataform
- QlikView
- Google Cloud Platform
- GitHub
- Jira
- Python
- FastAPI
- Git
- SQL
- XGBoost
- LangGraph
- Power BI
- Looker Studio

To contact Nirmalya, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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