Om Nankar
Production-focused Data Scientist and Machine Learning Engineer
omnankar
Buffalo, United States
Joined February 2026
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Summary
Production-focused machine learning practitioner: Om's personal portfolio emphasizes building deployment-ready ML systems and scalable ETL workflows (Python, PostgreSQL, FastAPI/Streamlit) and highlights achievements such as automating ingestion pipelines and developing validation/traceability tools. omnankar
Applied data engineering and analytics for business impact: portfolio and employment listings describe designing ETL pipelines, optimizing SQL and data models, and creating automated pricing engines and Power BI dashboards used for finance reporting and operational improvements. omnankar+1
Academic and research contributor in medical imaging and public-safety detection: publication records (ResearchGate, Google Scholar, IEEE, Monash) show multiple peer-reviewed works on MRI-based dementia detection, Lyme disease detection using self-supervised learning, and object/weapon detection. researchgate+3
Early-career practitioner with diverse internship experience: verified roles across SCAAI (research intern), Inspacco (intern), Wolters Kluwer (intern and data scientist), and chista (data science intern) demonstrate a blend of academic research and industry-facing applied work. edu+2
Work
Education
Projects
Writing
Deep learning approaches for lyme disease detection: leveraging progressive resizing and self-supervised learning models
January 1, 2024Study applying progressive resizing and multiple self-supervised learning models (SimCLR, SwAV, MoCo, BYOL) for Lyme disease detection from medical imaging, evaluating models with F1, precision, recall and accuracy metrics.
Developing a Cloud-Based Weapon Detection System Using Transfer Learning and Generative Adversarial Networks
January 1, 2024Book chapter on a cloud-based weapon detection system leveraging transfer learning and GANs, included in the Springer volume 'IoT Sensors, ML, AI and XAI: Empowering A Smarter World'.
A Novel AI-Based System for Detection and Severity Prediction of Dementia Using MRI
January 1, 2021Research on deep learning approaches for MRI-based detection and severity prediction of dementia; developed AI pipelines and published a peer-reviewed paper (IEEE Access).