Ashutosh Bhosle

Ashutosh Bhosle is a Senior Data Scientist at Pristine Infotech. Ashutosh has previously worked as a Data Scientist at Pristine Infotech, Inc., from August 2017 to December 2018, and as a Junior Data Scientist from April 2016 to July 2017. Ashutosh has also interned as a Data-Scientist at MADE from June 2015 to August 2015, where they analyzed the recipe-ingredient database of 289 recipes containing over 3000 ingredients to develop an equivalent recipe-flavor database using flavor-vector algorithm which quantified the different flavors present in each recipe. Ashutosh utilized this recipe-flavor data along-with existing data to predict sales of meals using SVM-based regression with an accuracy of 83.5%. Ashutosh also developed a system to estimate the utility of each customer towards the organization by calculating a score for each customer based on various parameters, such as number of orders made by the customer, number of different recipes customer orders etc.

Ashutosh Bhosle has a Master of Information Systems Management from Carnegie Mellon University - Heinz College of Information Systems and Public Policy, with a focus on Machine-Learning/Data Science. Ashutosh also has a Bachelor of Computer Engineering from St. Francis Institute Of Technology, with a focus in Computer Science. In addition, they have a certification from Udemy in Data Science:Deep Learning in Python.