Hi, I'm Saumyadeep 👋
Data Science specialist with experience in Machine Learning, Deep Learning, and Full-Stack Development. Passionate about applying AI to solve real-world problems.
About
I hold Bachelor of Science in Data Science from CHRIST UNIVERSITY, graduated in June 2024. I have experience in various areas of data science and software development, including machine learning, deep learning, and full-stack web development. I've completed internships at the Indian Space Research Organization and Nehru Arts and Science College(in collaboration with ICAR), where I worked on projects involving National Health Resource Repository data analysis and disease detection using deep learning.
Work Experience
Indian Space Research Organization
• Analyzed healthcare datasets, improving resource allocation by 15% and identifying equipment disparities.
• Delivered insights enhancing healthcare service accessibility by 25%.
• Suggested improvements resulting in a projected 30% increase in healthcare service accessibility.
Nehru Arts and Science College
• Trained a CNN model achieving an accuracy improvement of 20%.Developed a user-friendly web application, resulting in a 30% faster detection rate of Red Rot Disease in sugarcane Leaves.
• Designed and optimized the application for accessibility on various devices, increasing user engagement by 40%.
CHRIST UNIVERSITY
• Developed user interfaces and applications, automating data interpretation and insights extraction, reducing processing time by 30%.
Skills
Check out my latest work
Here are some of the projects I've worked on during my academic and professional journey.
Interactive Web Interface for LLM Models
Developed a ChatGPT-like web interface using React and Node.js, integrating 8 LLM models via Ollama. Implemented real-time response streaming, reducing average response time by 30%. Optimized load time by 40% and reduced server resource usage by 25% via efficient Docker deployment.
Traffic Light Control Optimization
Developed a Reinforcement Learning model to optimize traffic light timing, reducing average wait times by 27% in simulated urban environments. Improved traffic flow efficiency by 35% during peak hours. Implemented a Deep Q-Network (DQN) algorithm, training it on 100+ simulation episodes.
Automobiles E-Commerce Website
Designed and developed a full-stack platform for vehicle sales, enabling users to browse, compare, and purchase over 500+ car models. Implemented secure payment integration and achieved a 30% improvement in page load times.
Custom QA Chatbot Development
Developed an advanced NLP-based chatbot that answers queries in 7 domains (Science, Technology, History, Geography, News, Sports, etc.). Increased user engagement by 30% through personalized recommendations and real-time global event updates. Achieved 95% accuracy in query understanding using NLTK for text processing and a sequential model with 3 dense layers. Optimized performance with Stochastic Gradient Descent (SGD) and softmax activation, refining response accuracy by 20%.
Basic Web Browser Development
Developed a basic web browser using Python and PyQt5, featuring a user-friendly interface with support for 5+ tabs. Implemented key navigation functions, enhancing user efficiency by 40%. Designed an intelligent URL bar and SSL status indication, providing improved accessibility and security awareness.
Get in Touch
Feel free to reach out to me at saumyadeepmitra.12@gmail.com or connect with me on LinkedIn. I'm always open to discussing new opportunities and collaborations.