Nipa Das Gupta

Nipa Das Gupta

Software Engineer

Nilai University

Biography

Hi, I’m Nipa, a Software Engineer. As of September 2022, I have been Machine Learning Engineer Intern in Selangor (Malaysia) for four months, exploring and evaluating global face detection & recognition solutions for e-KYC documents.

Catch me outside of work; you’ll find me reading books, blogs, newsletters, gaming, or watching content for my study on YouTube channels.

Please visit my GitHub and LinkedIn pages (or download my Resume) by using the links below!

Download my Resumé .

Interests
  • Artificial Intelligence
  • TED Talks
  • Music
Education

  • BSc in Software Engineering, 2018 - 2022

    Nilai University

  • Higher Secondary Certificate, 2013 - 2015

    Chittagong Engineering University School & College

  • Secondary School Certificate, 2011 - 2013

    Raozan R.R.A.C Model High School

Skills

Python
SQL
C Program
Java
HTML
JavaScript
CSS
PHP
Git

Work Experience

 
 
 
 
 
Xendity Sdn Bhd
Machine Learning Engineer Intern
Xendity Sdn Bhd
Jun 2022 – Sep 2022 Selangor, Malaysia
Enhanced e-KYC document verification processes through meticulous evaluation and optimization of face detection models, focusing on accuracy and speed.

Accomplish­ments

Best Student Award
Nilai University Aug 2023
For academic outstanding achievements.
See certificate
Best Presenter Award
Universiti Teknologi MARA (UiTM) Malaysia Jul 2022
Presented the paper at conference and the paper title is “Detect driver drowsiness face expression recognition using Convolution Neural Networks”.
See certificate
Software Engineering Virtual Experience Program
Quantium May 2022
Set up your local development environment, data processing, create a Dash application, improve your Dash application, and test your Dash application.
See certificate
Software Engineering Virtual Experience
JPMorgan Chase & Co. May 2022
Interface with a stock price data feed, use JPMorgan Chase frameworks and tools, display data visually for traders.
See certificate
Dean List
Nilai University Jan 2019 – Jan 2020
For academic outstanding achievements (twice).
See certificate
Certificate of Merit
Raozan Club Jun 2013
For academic outstanding achievements.
See certificate

Projects

*
All Deep Learning Data science Other
Project III
Software Engineering Virtual Experience Program.
Code Follow
Project III
Project II
Software Engineering Virtual Experience.
Code Follow
Project II
Project I
Detect Driver Drowsiness Face Expression Using Convolutional Neural Networks.
PDF Code Slides Follow
Project I

Featured Publications

Driver drowsiness detection system through facial expression using CNN
Driver fatigue significantly impacts road safety, causing numerous accidents. We developed a real-time detection system using deep learning to analyze facial cues and ensure safety, with promising results from convolutional neural networks (CNN) algorithms, particularly SSD ResNet50 V1.
Nipa Das Gupta, Rajesvary Rajoo, Patricia Jayshree Jacob
PDF Cite Code
Driver drowsiness detection system through facial expression using CNN

Popular Topics

Data Processing Data Science Data Visualization deep Learning

Contact

Want to talk more? I’d be happy to connect with you!