Ummethala Venkata Dhatri .

Over the past year, I have built a strong foundation in data science through hands-on projects, internships, and self-driven learning. My journey began with developing a solid understanding of data analysis, statistics, and Python programming, which allowed me to work on practical applications such as data cleaning, visualization, and predictive modeling.

I gained experience in SQL for querying and managing structured data, and applied machine learning algorithms like regression, classification, and clustering to solve real-world problems.

During my internship, I contributed to projects involving chatbot development, dashboard creation, HPLC report automation, and time kinetics data analysis, where I learned to translate business requirements into data-driven solutions. I also explored NLP (Natural Language Processing) and Retrieval-Augmented Generation (RAG) for knowledge management applications.

In addition to technical skills, I developed strong problem-solving, collaboration, and presentation abilities by working in cross-functional teams. My focus remains on improving decision-making through data, building scalable solutions, and continuously learning advanced topics such as deep learning and AI integration.

I am passionate about applying data science to create meaningful business impact and excited to grow further in this field.