● During my internship, I gained hands-on experience working with AWS cloud services, which enhanced my cloud computing skills. ● I managed the end-to-end data flow, including scraping, storing, and utilizing data, ensuring efficient data pipeline management. ● I worked with various AI models, developing a broad understanding of AI and machine learning techniques. ● Additionally, I collaborated within a team and project environment, honing my teamwork and project management abilities. ● I ensured data quality and extracted meaningful insights, contributing to data-driven decisionmaking processes. ● Furthermore, I took full ownership of specific product features, leading their development and implementation efforts.

● As a Python Developer, my role involved extracting, transforming, and loading data (ETL) from various sources. ● I created data pipelines to automate these processes and ensure efficient data flow. ● Additionally, I visualized the data using libraries like Matplotlib, pandas and Plotly and saved it in different formats such as CSV, Excel, fastq, text, bed and JSON. ● I also collaborated with teams to understand their requirements and deliver valuable insights. ● Overall, my accomplishments include streamlining processes, improving data quality, and providing data-driven solutions.