Pankaj Singh Rawat
Data Scientist @EXL
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WORK HISTORY
Data Scientist @EXL
Gurugram, IN
Developing a fraud detection model for a major US bank using PySpark, AWS, and Hadoop to process high-volume transactional data.• Designing ML pipelines and trained XGBoost and Random Forest models for anomaly and fraud behavior detection.• Targeting a KPI target of identifying 7:1 good-to-bad accounts, improving fraud detection accuracy significantly.• Collaborating with cross-functional teams to align data modeling with fraud risk strategy.
ABOUT PANKAJ SINGH RAWAT
I’m a data scientist with around 5 years of experience building scalable ML solutions in fraud detection, customer analytics, and marketing optimization — across finance, automotive, and retail sectors.Currently, I’m working at EXL, developing a fraud detection model for a major US bank using large-scale transaction data with tools like PySpark, AWS, and Hadoop. Prior to that, I worked with Maruti Suzuki on lead scoring and customer segmentation, and at Infogain delivering multiple market mix models for Walmart.While I’m grounded in classical machine learning, I’m actively expanding my capabilities in Generative AI — especially around real-world applications involving LLMs and structured/unstructured data. I’m currently building hands-on projects to stay aligned with the evolving AI landscape.I’m now looking for opportunities in Europe (Germany, Netherlands, Ireland, or the Nordics) where I can contribute to impactful data science or AI-driven teams and continue growing as a tech professional. I’m open to relocation and require visa sponsorship.
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