Ravi Malde

Ravi Malde has worked in a variety of roles in the field of data science and machine learning. In 2020, they worked as a Machine Learning Engineer / Junior Tech Lead, Data Scientist, Junior Data Scientist, and Data Science Intern at Hazy. Ravi also participated in the Data Science Immersive Student program at Flatiron School, where they studied Python, Statistical Analysis, Machine Learning, and Deep Learning. In 2017, they worked as a Garden Maintenance Team Member at COUTURE GARDENS LIMITED. In 2016, they worked as an Industrial Placement Engineer at Atkins, where they designed and modelled a waste processing facility for Hinkley Point A and created a financial model in Excel. In 2012, they won an interview competition in Year 12 for the opportunity to spend a week shadowing engineers at the Red Bull F1 Racing facilities in Milton Keynes.

Ravi Malde's education history includes completing a Master's degree in Engineering Design with Year in Industry (MEng) from the University of Bristol between 2014 and 2019, and attending Mill Hill School Foundation between 2009 and 2014. Ravi also has several certifications, including Linux Mastery: Master the Linux Command Line in 11.5 Hours from Udemy obtained in March 2021, Mathematics for Machine Learning: Multivariate Calculus from Coursera obtained in November 2020, Essential Design Principles for Tableau from Coursera obtained in October 2020, Mathematics for Machine Learning: Linear Algrebra from Coursera obtained in October 2020, Visual Analytics with Tableau from Coursera obtained in October 2020, Fundamentals of Visualization with Tableau from Coursera obtained in September 2020, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization from Coursera obtained in March 2020, and Neural Networks and Deep Learning from Coursera obtained in March 2020.