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Md AshrafMA
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Md Ashraf

@mdashraf3

ML Intern at MeitY and Institute Of Liver And Biliary Science, developing medical imaging workflows for disease prediction.

India
Message

At Ministry of Electronics and Information Technology (MeitY) & Institute Of Liver And Biliary Science, I develop AI-enabled healthcare applications for medical data acquisition, preprocessing, visualization, and predictive analytics.

I also work on 3D point cloud processing, registering and merging multi-view scans with Open3D, NumPy, and Python.

For thermal imaging analysis, I design workflows for image preprocessing and feature extraction, integrating them with ML models for disease prediction.

At Zidio Development, I implemented unsupervised models to group customers into behavioral personas and used Elbow and Silhouette scores to evaluate K-Means cluster counts. I also developed a local finance chatbot project using RAG to answer queries from uploaded PDFs.

Experience

Work history, roles, and key accomplishments

MM
Current

ML Intern

Ministry of Electronics and Information Technology (MeitY) &

Jan 2026 - Present (8 months)

Developed AI-enabled healthcare applications for medical data acquisition, preprocessing, visualization, and predictive analytics. Worked on 3D point cloud processing and thermal imaging analysis workflows.

ZD

Data Science & Analytics Intern

Zidio Development

Jun 2024 - Sep 2024 (3 months)

Implemented unsupervised ML models for customer segmentation and behavioral analytics. Applied K-Means clustering with Elbow and Silhouette score evaluations.

Education

Degrees, certifications, and relevant coursework

AP

Army Institute of Technology, Pune

Master of Computer Engineering, Data Science

2024 -

Grade: 8.29/10

Pursuing Master of Computer Engineering with a focus on Data Science, achieving a CGPA of 8.29/10.

KU

Khwaja Moinuddin Chishti Language University

Bachelor of Technology, Computer Science and Engineering, AI and Machine Learning

2020 - 2024

Grade: 8.2/10

Completed Bachelor of Technology in Computer Science and Engineering with a specialization in AI and Machine Learning, achieving a CGPA of 8.2/10.

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