Monika Patial

Monika Patial's work experience begins with their current role as a Data Scientist (NLP) at daisee, starting in April 2021. Prior to this, Monika spent several years focusing on motherhood and up-skilling in data science. During this time, they completed specialized courses such as the Deep Learning Specialization (2020) which included topics like neural networks, deep learning, hyperparameter tuning, and convolutional neural networks.

Before their career break, Monika occupied the role of Visiting Scholar at the Worcester Polytechnic Institute from May 2016 to June 2017. Prior to that, they worked as a Postdoctoral Researcher at KTH Royal Institute of Technology from January 2014 to April 2016. Monika's earlier experience includes a doctoral research position at the Indian Institute of Technology, Roorkee from January 2009 to December 2013, and a brief period as a Visiting Doctoral Researcher at Instituto Superior Técnico from May 2013 to June 2013.

Monika Patial completed their education from 2009 to 2014 at the Indian Institute of Technology, Roorkee, where they earned a Doctor of Philosophy (Ph.D.) degree in Nuclear Physics. Additionally, they obtained several certifications, including "Learn SQL Basics for Data Science" from the University of California, Davis in November 2020, "Distributed Computing with Spark SQL" from the same institution in October 2020, and "SQL for Data Science" also from UC Davis in October 2020. In August 2020, they completed certifications in "DeepLearning.AI TensorFlow Developer," "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (TensorFlow/Keras)," "Natural Language Processing in TensorFlow," and "Sequences, Time Series and Prediction in TensorFlow," all from deeplearning.ai. Furthermore, they acquired "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Structuring Machine Learning Projects," and "Neural Networks and Deep Learning" certifications from deeplearning.ai in March 2020 and February 2020. Lastly, they completed "Data Wrangling, Analysis and AB Testing with SQL" from UC Davis, although the month and year of completion are not specified.