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Anirban Ghosh
Mid-level Machine Learning Engineer specializing in data science and cloud systems
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About
ML engineer who independently pitched and built a recommendation engine at Danske Bank in a legacy fintech environment, creating compliant data pipelines and deployment infrastructure from scratch and delivering a 62% engagement lift with 70%+ advisor adoption. Also worked at AWS on classification and GenAI-powered reporting systems, with strengths spanning production ML, platform setup, monitoring, and research-to-production optimization.
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Key Strengths
- owned an end-to-end fintech recommendation engine from idea to production
- built ML infrastructure from scratch in a non-ML-friendly enterprise environment
- navigated financial-data governance and GDPR-compliant data access
- drove 62% increase in customer engagement via A/B-tested recommendation system
- achieved 70%+ advisor adoption within 3 months
- created reusable ML pipeline and environment scaffolding for other departments
- helped catalyze organizational shift toward AWS, analytics tooling, and GPU-enabled ML infrastructure
- shipped LLM-based report generation workflow using prompt context plus vector DB retrieval
- implemented production monitoring with drift, confidence, email, and Slack alerts
- translated research on categorical encoding into production gains with 16x faster training at only 0.05% accuracy tradeoff
- strong deployment and platform engineering skills across Docker, OpenShift, networking, and service configuration
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Experience
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Publications
3 publications
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