I am a Computer Science Engineering graduate from Jaypee University of Information Technology with a strong foundation in programming languages such as C, C++, Python, and Dart (Flutter), along with expertise in MySQL and a passion for AI, machine learning, data analysis, and data science. Currently, I work as a Python Developer at DesignX, where I focus on building scalable, data-driven solutions. My role involves using Apache Airflow to automate workflows, manage data pipelines, and execute tasks like custom notifications and data transformations. I have successfully set up Airflow on virtual machines and local executors using Python and Docker and implemented features like automated log deletion through scheduled tasks. I am experienced in integrating third-party APIs to automate processes such as sending email notifications and updating databases, which has significantly improved operational efficiency. Additionally, I design and implement features for data transformation, enabling effective data processing for downstream analytics and reporting.During my internship at IIT Jodhpur, I created a dataset through web scraping and applied regression and classification models to predict smart device prices based on their features. This experience allowed me to deepen my understanding of data science and edge computing while developing a web-based dashboard to visualize the results. I am passionate about exploring innovative solutions at the intersection of data and technology and am eager to grow as a machine learning engineer and data scientist, contributing to impactful projects that solve real-world problems. Let's connect and collaborate on exciting opportunities in this space!