Ayushi Chhetri

Ayushi Chhetri

Data Scientist @ Klub Works

About Ayushi Chhetri

Ayushi Chhetri is a Data Scientist with over three years of experience in data-driven solutions, currently working at Klub in Bengaluru, Karnataka, India. She holds a Master of Science in Data Science from the University of Greenwich and has previously worked in various analytical roles across different companies.

Current Role at Klub

Ayushi Chhetri currently serves as a Data Scientist at Klub, a position she has held since 2022. Based in Bengaluru, Karnataka, she has been instrumental in executing data-driven solutions that enhance internal processing efficiency and accuracy. Her role involves creating data models and applying statistical techniques to address complex business challenges.

Previous Experience in Data Analysis

Prior to her current role, Ayushi worked at Klub as a Data Analyst Fellow for seven months in 2022. She also has experience as an Internet Analyst at D/V Group in 2015 for three months, and as a Business Data Analyst from 2015 to 2016. Additionally, she served as an Operations Consultant at Uber for four months in 2017. These roles contributed to her expertise in data analysis and operational efficiency.

Educational Background in Data Science

Ayushi Chhetri earned her Master of Science in Data Science from the University of Greenwich, completing her studies from 2021 to 2022. This advanced education has equipped her with the skills necessary to develop data-driven solutions and insights. She also holds a Bachelor's degree in Computer Science and Engineering with a specialization in Cloud Computing from DIT University, which she completed from 2013 to 2017.

Expertise in Machine Learning and Data Modeling

Ayushi possesses over three years of experience in executing data-driven solutions, with a focus on creating data models and utilizing statistical techniques. She has a keen interest in collaborating on machine learning projects, particularly within the fintech and agritech sectors. This interest aligns with her background and expertise in data analysis and modeling.

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