Available to hire
Hi, I’m Sankar Raghuthaman, a data scientist and ML engineer passionate about turning complex data into practical solutions. I’ve built end-to-end Azure ML pipelines for processing 1M+ DNA probe genomic data, automated preprocessing to ensure reproducible outcomes, and translated research findings into production-ready Python workflows.
I enjoy collaborating with cross-functional teams to improve model accuracy and drive business impact, from healthcare to finance. When I’m not coding, I mentor junior engineers and explore new ML techniques to stay ahead in the AI landscape.
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Language
English
Fluent
Work Experience
Data Science Intern at Children’s Hospital of Philadelphia
July 1, 2025 - PresentEngineered end-to-end Azure ML pipelines for processing 1M+ DNA probe genomic data, applying statistical and ML models to identify key syndrome predictors with high recall and robust ROC-AUC. Automated preprocessing and data standardization workflows reduced manual tasks by 75%, ensuring reproducible outcomes. Translated insights from 20+ research papers into production-ready Python workflows, cutting analytical turnaround by 50% and improving predictive reliability through cross-functional data integration.
Machine Learning Engineer at Tata Consultancy Services
August 1, 2022 - July 1, 2024Led migration of core banking systems to Azure Cloud, automating data workflows and reducing downtime by 30%. Built and deployed a GPT-3.5 Turbo–based field extractor for 1,000+ invoices, achieving 95% precision and 87% recall for financial entities. Applied prompt engineering and benchmarking against traditional NER models, delivering a 70% accuracy improvement and reducing manual verification. Mentored 7 junior engineers and standardized Agile-based ML workflows to improve code quality.
System Engineer at Tata Consultancy Services
August 1, 2020 - July 1, 2022Designed a computer vision model integrated with a Flask REST API to detect screen elements using OCR and icons, achieving 92% accuracy and optimized performance through threading. Architected ETL pipelines with real-time FX rate updates via Azure Data Factory and Spark, doubling transaction efficiency across international operations. Implemented CI/CD automation with Azure DevOps, reducing release cycles by 40% and ensuring lossless data exchange across systems. Defined and validated transformation logic with stakeholders.
Machine Learning Intern at Eduvance Pvt. Ltd.
May 1, 2019 - July 1, 2019Designed and optimized a deep learning SRCNN model, boosting image resolution and pixel clarity by 50%. Increased neural network training throughput on HPC clusters by 40% through distributed computing improvements.
Education
Master of Computer Science at North Carolina State University
August 1, 2024 - January 5, 2026Bachelor of Engineering in Information Technology at Mumbai University
August 1, 2016 - May 1, 2020Qualifications
Industry Experience
Healthcare, Financial Services, Software & Internet, Education, Professional Services
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