SANTANU NANDA

Santanu Nanda has a diverse work experience in the field of data science and analysis. SANTANU currently holds the position of Data Science Lead at Impact Analytics since June 2023. Prior to this, from May 2022 to May 2023, they worked as a Business Data Scientist at PERSOLKELLY.

Santanu also worked as a Data Scientist at CRISIL Limited from February 2021 to May 2022. SANTANU gained valuable experience in the research field as a Data Scientist Intern at Murdoch Childrens Research Institute from August 2018 to October 2018. During this internship, they created an R model to understand genomic disease study findings and developed a Tableau and R integration tool with regular updates.

Before their research internship, Santanu worked as a Data Analyst at SAP from August 2015 to May 2017. SANTANU started their professional career as an Analyst Intern at National Informatics Centre, Govt of India from May 2014 to July 2014.

Santanu Nanda completed their Bachelor's degree in Computer Science from Vellore Institute of Technology in the years 2011 to 2015. SANTANU then pursued a Master's degree in Data Science from the University of Melbourne between 2018 and 2020.

In addition to their formal education, Santanu also obtained several certifications. These include "Spark and Python for Big Data with PySpark" from Udemy, obtained in January 2021; "Complete Python Bootcamp: Go from zero to hero in Python 3" from Udemy, obtained in June 2020; "Excel Essentials for the Real World (Complete Excel Course)" from Udemy, obtained in June 2020; "Python OOP - Object Oriented Programming for Beginners" from Udemy, obtained in June 2020; "Tableau 2020 A-Z: Hands-On Tableau Training For Data Science!" from Udemy, obtained in June 2020; "Python for Data Science and Machine Learning" from Udemy, obtained in June 2017; "Microsoft Excel- Excel from Beginner to Advanced" from Udemy, obtained in May 2017; "Practical Machine Learning," "Regression Models," "Exploratory Data Analysis," "Reproducible Research," "Statistical Inference," "Getting and Cleaning Data," "R Programming," "The Data Scientist's Toolbox," and "Machine Learning" from Coursera, all obtained between January 2017 and May 2017; and "Cleaning Data in R," "Data Manipulation in R with dplyr," and "Importing Data Into R" from DataCamp.

No specific information is provided regarding the obtained months and years for the DataCamp certifications.