Developed a SQL-based analytics framework to uncover customer behavior and product performance trends using CTEs, window functions, and advanced aggregations.
Developed a comprehensive Formula 1 data visualization dashboard using Tableau. The project provides insights into race statistics, driver performances, and team standings through interactive dashboards.
Using TensorFlow and pre-trained models from TensorFlow Hub, I developed a project for binary text classification. By leveraging TensorFlow, NumPy, and Pandas, along with TensorFlow Datasets, I built an efficient solution for categorizing text into two distinct classes.
Designed and implemented a Machine Learning based system for robust classification of sensor data, enabling the identification of 24 unique load conditions affecting static structures.
Investigated the effectiveness of AugMix data expansion and compared various Optimization strategies to improve image classification performance for the CIFAR-10 dataset.
Utilized AutoEncoder on Capsule dataset for early anomaly detection through latent space analysis. The project aimed to build a model for early detection of dataset irregularities.