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Mansi Gupta
Engineer II @ American Express
About
Mansi Gupta is a budding Data Scientist with a strong command over data structures in C++. She is currently working as an Engineer III at American Express, where she is responsible for developing and implementing data engineering solutions. With a relevant experience of 0.68 years, Mansi has gained expertise in data engineering, data science, and research science. Mansi started her career as a Finance Data Engineer at American Express, where she developed and maintained data pipelines for financial data. She was also responsible for designing and implementing data models for various financial products. During this time, she gained a deep understanding of financial data and its complexities. Mansi is a participant of Script Winter of Code, where she worked on various data science projects. She has also been involved in research projects related to data analysis and machine learning. Her passion for data science and her ability to apply it to real-world problems have helped her gain a strong foothold in the industry. Mansi holds a Bachelor of Technology degree in Computer Science from Thapar University. During her college years, she developed a keen interest in data structures and algorithms, which laid the foundation for her career in data engineering and data science. Mansi's tech stack includes data engineering, data science, and research science. She is proficient in various programming languages such as C++, Python, and SQL. Her expertise in data engineering and data science has helped her develop solutions that are both scalable and efficient. Mansi is a highly motivated individual who is always looking to learn and grow. She is passionate about data science and its potential to transform businesses. Her strong technical skills, coupled with her ability to work collaboratively, make her an asset to any team.
Education Overview
• thapar institute of engineering technology
Companies Overview
• amex
• script winter of code
• technocolabs
Experience Overview
1.8 Years
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