Dhanani
Parita

Ahmedabad, India CGPA 7.96

Computer Engineering student focused on raw data mechanics. Building systems to clean, process, and analyze real world datasets. The objective is understanding the underlying logic and producing accurate systems.

Deployed Models

WaferFDC Defect Detection

Automated Semiconductor Fault Detection and Classification. Processes visual data to identify yield anomalies.

PyTorch ResNet-18 Flask

Semi-AI Virtual Metrology

End to End data pipeline for Semiconductor Defect Detection. Handles data cleaning and analytical visualization.

Python Random Forest Power BI
Core Parameters
Python C Programming SQL Power BI Machine Learning Microsoft Office
Academic Base

Computer Engineering (B.Tech)

Shree Swaminarayan Institute of Technology

Active Certifications

  • Geodata Processing using Python (ISRO)
  • Quantium Data Analytics
  • Google Cloud Computing Foundations
Curriculum Vitae

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