Undergraduation - Sreyas Institute of Engineering and Technology
Bachelor of Technology in Computer Science and Engineering (Data Science)
I specialize in solving real-world problems with data-driven insights.
I have established a strong foundation in data science and machine learning.
Turning data into decisions, one insight at a time 🚀📊
I specialize in solving real-world problems with data-driven insights.
I have established a strong foundation in data science and machine learning.
Turning data into decisions, one insight at a time 🚀📊
I aspire to work on cutting-edge AI applications that drive meaningful change in industries like healthcare, finance, and automation.
Contributing to open-source AI projects, collaborating with like-minded professionals, and continuously pushing the boundaries of data science are my key goals.
Bachelor of Technology in Computer Science and Engineering (Data Science)
Telangana State Board of Intermediate Education (T.S.B.I.E)
Indian Certificate of Secondary Education (I.C.S.E)
Virtual Internship on Data Scientist (Forage)
Virtual Internship on Data Analytics (Forage)
Certification of accomplishment on Introduction to Data Science
Certification of excellence in Database Management System (SQL)
Certification of excellence in Introduction to Machine Learning
A voice-enabled medical diagnosis system that predicts diseases based on spoken symptoms using machine learning and speech recognition.
It converts user speech into text, analyzes symptoms, and provides an AI-powered diagnosis with a voice response. 🚀
Developed a deep learning-based Next Word Prediction Model using a custom Transformer architecture integrated with LSTM.
The project utilized techniques such as multi-head attention, positional encoding, and feed-forward networks for effective sequence modeling.
This project aims to detect anomalies in user behavior using machine learning classification algorithms.
The goal is to identify potential cyberattacks, even when hackers use valid login credentials, by recognizing deviations from normal user activity.
Conducted sentiment analysis on social media data to understand public opinion.
Real-Time Voice Alerts for Drowsiness & Road Hazards