Aspiring Data Analyst with expertise in statistical analysis, data visualization, and machine learning. Proficient in Python, SQL, and cloud services including AWS. Committed to leveraging analytical skills to drive organizational growth and enhance data-driven decision-making.
Reading Books
Intelligent Human Anomaly Detection using LSTM Autoencoders, 01/01/24, 05/31/24, Developed a system where it detects the anomalies in the form of a graph which are taken from video clips using LSTM Autoencoders. Research Paper published in IEEE Conference. Enhanced Medical Diagnosis: Disease Prediction, 08/01/23, 11/30/23, Developed a website using Machine Learning where it takes the symptoms of users and predict the disease with the confidence score. Online Exam Management System, 02/01/23, 04/30/23, Developed Using Database Languages like SQL and PHP. In this system, the student and the faculty can use in various purposes. For user-interface HTML and CSS are used. Accident Detection and Alert System, 02/01/23, 05/31/23, Developed an automated system using Deep Learning and CNN Algorithm for detection of accidents in real time and giving an alert for the nearby hospitals. Customer Churn Prediction, 09/01/22, 11/30/22, Predicting Bank customer churn using Artificial Neural Networks.
Date of Birth: 10/29/02