Pankaj S.

Pankaj S. began their work experience as a Research Intern at IIT Indore in July 2015. Pankaj then worked as a Research Intern at Scriplogix, a market research and analytics company, from October to December 2015. In June 2015, they joined Testbook.com as a Content Expert for GATE Computer Science, an EdTech company focused on online learning.

In 2016, Pankaj worked as a Machine Learning Scientist at Solverminds Solutions & Technologies Pvt Ltd. Pankaj then moved on to Ittiam Systems Pvt Ltd in March 2017, where they held the position of Senior Engineer, Corporate R&D until March 2020. From April 2020 to June 2022, they served as the Lead Engineer CRD at the same company.

Pankaj's most recent position is Senior Data Scientist at Chingari, a role they assumed in June 2022.

Pankaj S. pursued their Master of Technology (MTech) in Computer Science from the International Institute of Information Technology, Bhubaneswar from 2013 to 2015. In 2016, they completed a Post Graduate Program in Business Analytics from Praxis Business School.

Pankaj S. also obtained several certifications throughout their education. Pankaj acquired certification in Python (Basic) from HackerRank in June 2020. In July 2016, they obtained the Big Data Spark Foundations certification from IBM. Additionally, Pankaj S. completed multiple online courses and received certificates from Coursera, including Machine Learning, Practical Machine Learning, R Programming, and Regression Models, all attained in November and December 2015. Pankaj also completed various DataCamp courses, including Intro to Python for Data Science, Intro to Statistics with R, Introduction to Machine Learning, and Kaggle R Tutorial on Machine Learning. Pankaj holds certificates for these courses but the specific months and years of completion are not specified.

Furthermore, Pankaj S. pursued other certifications, although the completion dates are not provided. These certifications include Developing Data Products, Exploratory Data Analysis, Getting and Cleaning Data, Intro to Statistics with R: Analysis of Variance (ANOVA), Intro to Statistics with R: Moderation and Mediation, Intro to Statistics with R: Multiple Regression, Intro to Statistics with R: Repeated measures ANOVA, Intro to Statistics with R: Student's T-test, Introduction to Machine Learning, Kaggle R Tutorial on Machine Learning, MongoDB for developers, and Python 3.4.