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Dyuti Vartak
Junior Data Scientist/Data Engineer specializing in ML pipelines and analytics
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About
Machine Learning Intern at Docsumo who delivered a customer-facing fraud-detection solution end-to-end: rebuilt the pipeline, deployed a Random Forest model, and shipped a Python/Flask microservice on AWS SageMaker. Drove measurable production impact (precision +30%, processing time cut in half, manual review -60%, customer satisfaction +15%) and demonstrated strong customer integration and live-incident response skills.
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Key Strengths
- Built and deployed end-to-end customer-facing fraud-detection system in production
- Improved model precision by 30% through pipeline rebuild and feature engineering
- Reduced document processing time from 10 minutes to 5 minutes per document via AWS SageMaker microservice
- Reduced manual review workload by 60% and increased customer satisfaction by 15%
- Strong customer discovery and workflow-driven solution design (on-site/ops-focused requirements)
- Reliable API/integration design with mapping, auth handling, retries, monitoring, and edge-case testing
- Fast production incident triage and hotfixing (restored service during peak hours; added preventative checks)
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Experience
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Publications
1 publication
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