
Recent graduate with degree in Computer Science. Dedicated, responsible and detail-oriented with valuable combination of analytical and creative abilities to improve processes and productivity. Excellent team player with strong interpersonal communication skills.
I have been trained in Data Science, Machine Learning, and Deep Learning Basics. I had played an important role in the implementation of the Signature Verification project using the Siamese Network. I am the team leader in the group of 8 members, where we have implemented data science and machine learning projects.
This model predicts the disease of the rice plant and specifies what type of fertilizers are to be considered for the specific disease. This model predicts with an accuracy of 90 percent.
When an image is passed through the model it identifies the objects in the particular image and then structures a sentence by using LSTMs. This model gives an accuracy of 70 percent.
A handwritten digits are identified by using various image processing techniques in OpenCV package.This project identifies the number and displays the number as the output.
Signature Verification and forgery detection is the process of verifying a signature automatically. In this project, we find the similarity between the signature using Siamese Neural Network.
Automatic Speech to Text Summarization Using Graph-based Algorithms can be used in meetings, to get a brief description of the meeting for future reference. This provides signature verification using a Siamese neural network and converts the user-provided audio file to English text. So the transcript is then summarized using unsupervised extractive text summarization algorithms.