MUPPARAJU GIRISH CHOWDARY

• IBM Applied AI(Professional Certificate), IBM(Cousera), 02/01/2023
• IBM AI Engineering(Professional Certificate), IBM(Cousera), 10/01/2023
• Azure Fundamentals, Azure, 05/01/2024

Lane Detection Using ENET: This project aims to assess the efficiency of different deep learning architectures, including ENet, UNet, and FCN, in accurately detecting lanes under various road conditions. Lane detection is vital for autonomous driving systems, and our goal is to achieve precise and reliable results through this comparative analysis. 

LSTM - Sentiment Analysis for Tweets : LSTM neural network with GloVe word embeddings to classify tweets effectively. It utilizes GloVe embeddings to enhance word representations. The defined LSTM model is then trained, evaluated, and applied to predict the target variable for the test dataset, completing the classification task with saved predictions for submission. CarSales Dashboard, Interactive Car Sales Dashboard developed using Power BI. The dashboard visualizes critical Key Performance Indicators (KPIs) and sales performance trends over time, enabling data-driven decision-making for a car dealership. It includes charts depicting YTD sales trends.