As a Data Engineer at QBurst, my responsibilities involve data generation/collection, data preprocessing, data visualization and analysis. My work includes automating these processes by building ETL pipelines in AWS.

Collaborated with the tech team to assist in website maintenance, improvements, and enhancements. Participated in the development and testing of new features and functionalities to enhance the user experience.Utilized data analysis tools to gain insights into customer behavior and preferences.Gained exposure to marketing initiatives by working closely with the marketing team. Assisted in the creation of marketing materials, campaigns, and promotions to drive customer engagement.Contributed to streamlining operational processes within Klothestore.

At Klothewala, I had the opportunity to work in a team dedicated to researching major competitors in the textile industry and investigating the latest market trends. Our goal was to stay ahead of industry developments and enhance our competitive edge.I also analyzed Klothewala's sales performance across different seasons, focusing on Indian festivities. This analysis was crucial for understanding consumer behavior and optimizing our sales strategies during peak festive periods.

Successfully completed a dynamic internship at Datahut, where I honed my skills in web scraping and data analysis.Utilized industry-standard tools such as BeautifulSoup, Selenium, and Python to extract and analyze large datasets efficiently.Analyzed and processed scraped data to extract actionable insights, facilitating informed decision-making.Authored informative and engaging blog posts documenting web scraping methodologies and data analysis techniques.As a proactive intern, I harnessed the power of Large Language Models (LLMs) to develop a cutting-edge bot capable of extracting information and answering questions from PDF files.