About

Sweta Singh is a highly skilled Data Scientist, Data Engineer, Python developer, Data Analyst, and Business Analyst with over 3 years of relevant experience in the field. Her passion for numbers and analyzing data has been a driving force throughout her career. She has a proven track record of understanding, transforming, and creating actionable insights for businesses and teams to help them succeed. Sweta is experienced in working with senior leadership to drive projects and has collaborated with global cross-functional teams with diverse backgrounds to deliver results. Currently, she works for one of the biggest luxury automotive brands, where she is responsible for bringing their automation and data and analytics strategy to life. Sweta's expertise includes Python, SQL, MySQL, PowerBI, Django, Flask, Pandas, Numpy, Azure synapses, Azure Databricks, Azure Data factory, Pyspark, and Azure Machine learning. Her technical skills have enabled her to excel in various roles such as Data Engineering, Research Scientist, Software Engineer, and Integration. Sweta's past work experiences include working as an Associate Software Engineer at Harman, where she analyzed data and brought data and analytics to life for one of the topmost Germany-based luxury automotive brands. She was involved in automation, integration, and validation in the automotive for the Infotainment domain. She also worked as a NetSuite Administrator at WorldRemit, where she managed inventory, tracked financials, and maintained customer relationships using Oracle NetSuite ERP. Overall, Sweta is a motivated and results-driven professional with a passion for data analysis and a proven track record of delivering results. She is an expert in her field and has the technical skills and experience to excel in any data-related role.