Amar Rai

Amar Rai's work experience includes:

- Data Engineering Consultant at Mudano from March 2022 to present.

- Senior Consultant in Financial Services - Quantitative Advisory Services at EY from September 2020 to January 2022.

- Consultant in Financial Services - Quantitative Advisory Services at EY from February 2020 to January 2022.

- Consultant in Financial Services - Data & Analytics at EY from September 2018 to February 2020.

- Digital Transformation Consultant at EY Seren from September 2019 to February 2020.

- Student Ambassador at The London School of Economics and Political Science (LSE) from October 2014 to August 2018.

- Course Assistant at LSE CHOICE Year 12 Summer School from August 2016 to August 2017.

- Course Assistant at LSE Year 11 Summer School in July 2016.

- Events Officer at LSE Sikh Society from May 2015 to April 2016.

- President of LSE Applicable Mathematics Society from April 2015 to April 2016.

- Financial Services Consulting Intern at EY from July 2017 to August 2017.

- Summer Intern in Financial Services at KPMG in July 2016.

- LSE CHOICE (Mathematics) at The London School of Economics and Political Science (LSE) from August 2013 to March 2014.

- Physics Insights Work Experience (Plasma Physics Research) at Imperial College London in July 2013.

Amar Rai completed their Bachelor's degree in Mathematics with Economics at The London School of Economics and Political Science (LSE) in 2018. In 2020, they attended SOAS University of London to study Japanese Language and Literature as a beginner. Prior to this, Amar attended Drayton Manor High School from 2012 to 2014 for their A Levels and Guru Nanak Sikh Academy from 2007 to 2012 for their GCSEs. Additionally, they obtained several certifications including "Merging Dataframes with Python Pandas," "Data Manipulation with Python Pandas," "Intermediate Python for Data Science," "EY Analytics - Data visualization - Bronze," "CIMA Certificate in Business Accounting," "Microsoft Azure Machine Learning using Cognitive Services," "Python for Data Science," and "Microsoft Azure - Beginner's Guide" between 2018 and 2020 from institutions such as DataCamp, EY, CIMA, Udemy, and IBM.