Siavosh Mahboubian

Siavosh Mahboubian has a diverse work experience spanning various industries. Siavosh worked as a Senior Data Scientist at ProFinda from February 2023 onwards. Prior to that, they served as a Data Strategist at NCIA Holdings starting from December 2017.

Siavosh also worked as a Data Scientist at Codementor from June 2018 with various achievements such as improving image classification accuracy by 25% and reducing natural language processing errors by 30% through advanced neural network models. Siavosh also streamlined data classification and processing by developing an automated machine learning pipeline using Linear Discriminant Analysis, resulting in a 50% improvement in workflows.

Before transitioning into the field of data science, Siavosh worked as a Data Scientist with the UK Home Office from June 2017 to December 2017, contributing to the Organized Crime department. Siavosh utilized advanced data analysis techniques and evaluation of Graph Databases to identify key players and relationships within organized crime networks, enhancing algorithm performance by 30% and reducing processing time by 40%.

Siavosh's earlier experiences include working as an Equity Sales & Trading Summer Analyst at Citi in 2008, an Interest Rate Derivative Trading Assistant at Morgan Stanley in 2007, a Staff Accountant at the Mahboubian Gallery of Ancient Art in 2005, and a Trainee at Standard & Poor's in 2003.

Siavosh Mahboubian completed their A-Levels at Latymer Upper School from 2002 to 2006. Siavosh then pursued their Bachelor of Science (BS) in Mathematics with Economics at UCL, studying from 2006 to 2009. Siavosh went on to obtain their Master of Science (MS) in Computational Statistics and Machine Learning from UCL, where they studied from 2017 to 2019.