Gian Prem Rajaram

Gian Prem Rajaram has a diverse work experience starting with their current role as a Product Intern at AutogenAI in 2023. Previously, they worked at Globality, Inc. where they held various positions including Associate, Provider Success and Risk, Analyst, Growth & Risk Operations, and Intern, Risk Operations. In these roles, they managed and researched risks for thousands of companies, optimized financial risk monitoring, and liaised with professional service firms. Gian Prem also gained research experience as a Graduate Research Assistant at King's College London, where they analyzed data related to ESG and climate change. Additionally, they worked as a Research Assistant at King's College London and had an internship experience at Bright Network. In 2019, Gian held roles as a Sales Associate at viagogo and as a Business Assistant at Qima Coffee. Prior to that, they had employee roles at Syft, Stint, and Staff Heroes from 2018 to 2019.

Gian Prem Rajaram completed their education in the following chronological order:

1. High School Diploma - Lauder Javne School, Budapest (2006-2018)

Field of Study: Hungarian Matura

2. Bachelor of Science - BS - King's College London (2018-2021)

Field of Study: Politics

3. Master of Science - MS - UCL (2023-2024)

Field of Study: Computer Science

In addition, Gian Prem Rajaram obtained various certifications:

1. Python for Data Science, AI & Development - IBM (September 2023)

2. Introduction to Logic - Stanford University (August 2023)

3. Tools for Data Science - IBM (August 2023)

4. Mathematics for Machine Learning: Linear Algebra - Imperial College London (June 2023)

5. Mathematics for Machine Learning: Multivariate Calculus - Imperial College London (June 2023)

6. Learning R - LinkedIn (April 2021)

7. Processing Text with R Essential Training - LinkedIn (April 2021)

8. Text Analytics and Predictions with R Essential Training - LinkedIn (April 2021)

9. Excel 2016: Pivot Tables in Depth - LinkedIn (October 2019)

10. Finance Foundations - LinkedIn (October 2019)