I am Manjit,
an aspiring
data scientist,
from India!

I've dived into Natural Language Processing (NLP) through several exciting projects. I developed a model for sentiment analysis on movie reviews, gaining insights into public opinion, and worked on detecting multiple categories of toxicity. Additionally, I built a deep learning model for news genre classification, enhancing my text categorization skills.

In the past year, I have worked on several projects with national and international clients, primarily collaborating with R&D teams. My responsibilities included extracting valuable insights from data, making predictions, building models, and optimizing them. I have worked on various topics, contributing to various industry-specific solutions.

I am currently pursuing my Master's degree, focusing on a range of projects that include Advanced Statistical Analytics, Natural Language Processing, Computer Vision and Recommender Systems. These projects are aimed at applying cutting-edge techniques and methodologies to solve real-world problems and advance the state of research in these fields.

With a Bachelor's degree in Electronics and Communication Engineering (ECE), I was introduced to the field of TinyML (Embedded Machine Learning), which holds great promise for the future. Throughout my academic journey, I have completed several projects in pure ECE and have also applied TinyML to tackle real-world challenges.