SAMUDRA BANERJEE

I am pursuing a B.Tech in Computer Science at SRMIST College, with a strong passion for Machine Learning, Web Development, and the Internet of Things. My primary focus is on Machine Learning, where I excel in developing advanced models for voice recognition, image classification, and natural language processing. This demonstrates my ability to apply sophisticated machine learning techniques to solve complex problems effectively.

In addition to my machine learning expertise, I have a solid foundation in web development. My proficiency in HTML, CSS, JavaScript, and various web frameworks allows me to create responsive, interactive, and user-friendly web applications that are optimized for search engines. This combination of skills highlights my versatility and commitment to staying at the forefront of technological innovation.

• Date of Birth: 04/30/2003
• Nationality: Indian
• Driving License: WB09 2022 0002084

• English, Highly proficient
• Bengali, Native speaker
• French, A1
• Hindi, A1

• Jetson nano specialist
• Aws academy machine learning foundation
• python data structures by University Of Michigan

• Top 5 in IIT Bombay Techfest
• Smart India Hackathon
• Hack odisha 2.0
• Published a paper in IEEE ICSCAN on Predicting tomato price using SVM

• 02/2023, 03/2023, NIOT, Research project on Submarines , was able to achieve a accuracy of 96 %, Chennai
• 09/2022, 09/2022, Object Detection Using jetson nano, I learned to use various NVIDIA resources to build a object detection software, I could make the model accuracy to exceed from 86 % to 97 %., Chennai
• 02/2023, 09/2022, Tomato price prediction using Support vector machine Research Project, I got a vast knowledge on support vector machine machine learning model and I added new layers in it with a accuracy of 98%., Chennai
• 06/2023, 07/2023, Research project on faster computing of frequent data items, I learnt to use various python libraries like pandas and bloom filter. I also learnt to use Apache spark and various data mining techniques. I got some experience with machine learning models like the GRU and RNN models and got an accuracy of 95 %., Chennai
• 03/2024, ongoing, Accident rate prediction and validation of government resources, here I learnt to work on real time data given by the government and how to clean and verify the data; and got a model accuracy of 92 % and , Chennai.

ANUPUMA C G, Assistant Director, IR, Srmist, anupamag@srmist.edu.in, +91 96771 33931

• Reading
• Writing
• Swimming
• World History

• Chairman of IEEE GRSS club
• Vice president of Colossal Newsletter
• Domain head of placement student team
• Domain lead of Next Gen AI ar/vr team