I am a Data Science student at the University of Marburg, passionate about uncovering insights from complex datasets. As an aspiring Data Engineer, I specialize in Big Data, Machine Learning, and Distributed Systems, aiming to apply my analytical expertise and technical skills to develop innovative and impactful solutions.
Learn more about me. In this paper we have proposed a diabetes prediction model using Machine Learning algorithm for better classification prediction. We have tried different Machine Learning algorithms to find which gives the better accuracy of classification.
Paper
Code
This paper analyzes and compares deep learning models, including LSTM and GRU, for electricity consumption forecasting, demonstrating improved accuracy through hybrid approaches. It focuses on applications in sustainable energy management and is under review with Elsevier.
Considering the COVID situation I have tried to build an amazing Computer vision project using DNN ( self build CNN Architecture). In this project we can detect LIVE whether the person is wearing mask or not.
In this project we have tried to recognize handwritten digit (0 - 9). The dataset was imported from sklearn dataset library i.e mnist dataset. We built end to end LogisticRegression model to predict handwritten digit .
The project is simple we give input as a phrase or sentence or question and as an output we get a small essay generated by this application. Since by name we can understand it is a text generator application.
Collaborating in a team of 3. Project initiated in Summer Semester 2024. Supervised by Daniel Schneider, Ph.D. (under Prof. Dr. Bernd Freisleben, Dean of the University).
Collaborative project with AI Lab Marburg. Working in a team of 3 with a mentor. Scheduled to start in December 2024 and estimated to complete by March 2025.