Shreyansh Patel
About Shreyansh Patel
Shreyansh Patel is a Trainee at FunctionUp, where he has been working since 2023. He holds a Master of Arts in Economics and has completed focused training in data science, specializing in Python and Spark.
Work at FunctionUp
Shreyansh Patel has been working at FunctionUp as a Trainee since 2023. In this role, he engages in collaborative discussions with his team, focusing on the importance of well-documented code and thorough testing. He aligns data-driven approaches with product goals, ensuring effective communication of insights through visualizations. Shreyansh continuously explores new methodologies and applies analytical tools to deliver impactful solutions.
Education and Expertise
Shreyansh Patel studied at St. Aloysius' (Autonomous) College, where he earned a Master of Arts in Economics from 2020 to 2022. He also completed a Bachelor of Commerce in Applied Economics from 2017 to 2020 at the same institution. His education has provided him with a strong foundation in economic principles and analytical skills, which he applies in his current role.
Background in Data Science
Shreyansh Patel has completed 7 months of focused training in data science, specializing in Python and Spark for data analysis. He has developed machine learning models as part of hands-on projects, showcasing his expertise in statistical concepts. His training has equipped him with the skills necessary to analyze data effectively and contribute to data-driven decision-making.
Previous Experience at Amazon
Before joining FunctionUp, Shreyansh Patel worked at Amazon as an Operations Associate for 5 months in 2022. This experience provided him with insights into operational processes and enhanced his problem-solving skills in a fast-paced environment.
Commitment to Ethical Data Handling
Shreyansh Patel maintains a strong commitment to ethical data handling and compliance with regulations. He brings a user-centric perspective to problem-solving in product development, ensuring that solutions are not only effective but also responsible and aligned with best practices in data management.