Aniket S Purohit has a work experience starting from 2017. In 2017, they worked as a Summer Intern at Arrelic. In 2019, they joined Aptus Data Labs as a Data Analyst, where they were responsible for building pipelines using ML models for various business use cases, including customer segmentation, basket analysis, time series demand forecast, and association rule mining. Aniket S used tools such as Azure ML Studio, Python, R, and MS SQL Server for developing and deploying solutions. In 2021, they joined KoiReader - Unlock Smart Operations as an Associate Python Developer. Further details about this role are not provided.
Aniket S Purohit completed their Bachelor's Degree in Computer Science and Engineering from the Odisha University of Technology and Research between the years 2015 and 2019. Additionally, they have obtained several certifications in various fields. In 2022, they received a certification in "Bayesian Machine Learning in Python: A/B Testing" from Udemy. In 2021, they obtained a certification in "Introduction to Machine Learning in Production" from Coursera. In 2020, they achieved certifications in "javascript-algorithms-and-data-structures" from freeCodeCamp and "DevOps for Data Scientists" from LinkedIn. In 2019, they completed a certification in "Introduction to Probability and Data" from Duke University. In 2018, they obtained certifications in "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" and "Neural Networks and Deep Learning," both from Coursera. In 2017, they achieved a certification in "Introduction to data science in python" from Coursera.
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