SAI RAHUL KODALI

"Aspiring Data Scientist with a strong foundation in machine learning, statistical analysis, and data visualization. Proficient in Python, SQL, and big data technologies. Experienced in full-stack development, with expertise in JavaScript, React, Node.js, and database management. Passionate about leveraging data-driven insights to solve complex problems and build scalable applications. Seeking opportunities to apply analytical skills and software development expertise in data-driven roles."

• NI CLAD
• HUAWEI CERTIFIED ICT ASSOCIATE ARTIFICIAL INTELLIGENCE (HCIA-AI)
• HUAWEI CERTIFIED ICT CLOUD COMPUTING

Project title: Automatic License Number Plate Recognition System Using OCR

Description: In this project, Automatic number plate recognition is a computer vision practice that allows devices to read license number plates on vehicles quickly and automatically, without any human interaction. Hence, ANPR is used to capture and identify any number plate accurately through the use of video or photo footage from cameras.

Project title: COVID Detection using CT Scan images

Description: In this project, Python and Jupyter Notebook were used to create a Convolution Neural Network (CNN) algorithm and applied several filters to detect the presence of COVID-19 in CT scan pictures and their accuracy was 83.35%, 85.47%, and 87.17%, respectively.

Project title: Modeling & Simulation of Efficiency in Photovoltaic System Connected to grid using Matlab

Description: This project can control system part of PV system connected to Grid consists of two operative controls. One of them is the current control which regulates the current at the PCC