Focus : GENERATIVE AI DEVELOPER , ML ENGINEER , DATA ENGINEER , AI ENGINEER
Specifications : Machine Learning , Python , IOT
Skills
PYTHON, SQL, JAVA, DATA STRUCTURE, MACHINE LEARNING, DJANGO, GIT & GITHUB, R, ADVANCE EXCEL, IOT, PYTHON, SQL, JAVA, DATA STRUCTURE, MACHINE LEARNING, DJANGO, GIT & GITHUB, R, ADVANCE EXCEL, IOT, GEN AI,Languages
ENGLISH, BENGALI, HINDI,Hobbies
Football ,Watching Movies , watch technology related updated
Summary
Seeking opportunities to gain hands-on experience in the industry, I am driven by a strong passion for analytics. My data science background equips me to think critically and find solutions skillfully and how to apply logic in solving real world problems. I am actively engaging in collaborative projects, internships, and scholarly research to apply my knowledge in real-world settings and stay updated on cutting-edge methodologies. My goal is to have a meaningful impact on data science initiatives and teams by combining academic knowledge with practical proficiency.
Education History
Projects
This project focuses on implementing a Convolutional Neural Network (CNN) to detect facial emotions in real-time. The CNN is trained to recognize seven primary emotions: 'Angry', 'Disgust', 'Fear', 'Happy', 'Neutral', 'Sad', and 'Surprise'. By processing video data from a camera feed, the system extracts facial features and predicts the dominant emotion expressed by individuals in the frame.
Developed using Python and Django, this project introduces a robust Laundry Management System, empowering users with seamless order placement, tracking, and transparent billing. Administrators gain efficient inventory control and workforce management tools, promising enhanced operational efficiency and customer satisfaction. Step into the future of laundry management with our intuitive and versatile solution.
Built on Django, our website employs decision trees and linear regression for crop yield and rainfall predictions. Revolutionizing agricultural planning, our platform delivers real-time insights to optimize farming strategies and resource allocation. Embrace the future of agriculture with data-driven precision and efficiency.
THIS IS A HACKATHON PROJECT