Vincent Kr

Vincent Kr has a diverse work experience in the field of data science and analysis. Their most recent role was as a Data Science Consultant at Mudano starting in January 2022. Prior to that, they worked as a Data Scientist at NeuerEnergy and Aqovia from September 2019 to February 2022. Vincent also gained valuable experience as a Data Scientist at Tata Consultancy Services from August 2016 to September 2018, where they played a key role in building recommendation algorithms, implementing predictive algorithms, and automating data exploration methods. Before that, they worked as a Data Analyst at TCS from September 2015 to August 2016, where they supported pay television, telecommunications, and internet services. Vincent's earlier experience includes working as a System Analyst at Tata Consultancy Services from August 2012 to September 2015, where they worked on script development, telecom business operations, infrastructure monitoring, and configuration management.

Vincent Kr started their education at Petit Seminarie Higher Secondary School from 1995 to 2008, where they completed their Higher Secondary education. Following that, from 2008 to 2012, they attended Pondicherry Engineering College and obtained a Bachelor's degree in Mechanical Engineering. In 2018, Vincent enrolled at the University of Essex and pursued a Master's degree in Data Science, which they completed in 2019.

In addition to their formal education, Vincent has also obtained various certifications. In 2020, they completed the courses "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera, "Analyzing Big Data with Hive," "Docker for Data Scientists," "Statistics Foundations: 1," and "Statistics Foundations: 2" from LinkedIn. Vincent also gained expertise through the completion of "Advanced SQL for Data Scientists" and "Apache Spark Deep Learning Essential Training" from LinkedIn in April 2020. Furthermore, they have pursued additional certifications such as "Hadoop 101," "Machine Learning with R," "Neural Networks and Deep Learning," "Python for Data Science," and "Spark Fundamental," although the specific completion dates are not provided.