Sweety X.

During my academic journey, I’ve built a strong foundation in data analysis, machine learning, and data visualization using tools like Python, Pandas, Scikit-learn, and Power BI. Additionally, I have gained hands-on exposure to data engineering concepts such as ETL pipelines, SQL, and workflow orchestration tools like Apache Airflow. I am also familiar with cloud platforms (AWS, GCP) for deploying and managing scalable solutions, and I’ve explored Docker and Kubernetes for containerization and orchestration.

With growing interest in LLMs and Generative AI, I have been learning how to leverage large language models for real-world applications, enhancing my problem-solving and research capabilities.

Through hands-on projects, I’ve had the chance to transform data into actionable insights—fueling my passion for solving real-world problems through data. I’ve attached my resume for your kind consideration and would be truly grateful for the opportunity to discuss how my skills and enthusiasm can contribute to your team.