Viren is a Marketing & Analytics Teaching Assistant with a passion for helping students bridge the gap between analytical methods and real-world business decision-making.

Teaching Specialisms

ML & AI for Business Topics include supervised and unsupervised learning, deep learning, natural language processing (NLP), predictive analytics, and generative AI, with a focus on both technical understanding and practical business applications.

Programming, Statistics and Data Science Developing proficiency in programming, statistical analysis, and data science techniques. Topics include data manipulation, statistical modelling, hypothesis testing, data visualisation, and programming for analytics.

Work Experience

Alongside his academic responsibilities, Viren works within the investment and hospitality sectors, specialising in the use of data-driven analysis to support revenue growth and long-term strategic planning. His professional experience centres on translating complex data into actionable business insights.

Academic Qualifications

MSc Business Analytics, University College London (2023) BSc Business Economics, University of Surrey (2022)

Teaching Qualifications & Experience

Associate Fellow of the Higher Education Academy (AFHEA) – currently in progress.

Viren has three years of teaching experience in Higher Education at UCL. His roles have included Teaching Assistant, Personal Tutor, Dissertation Supervisor, and Academic & Wellbeing Advisor.

Modules Taught Programming for Business Analytics • Statistics for Business Analytics • Operations Analytics • Dissertation • Machine Learning for Business • AI for Business • Natural Language Processing • People Analytics

Teaching Philosophy

Having studied at UCL School of Management himself, Viren is motivated by the opportunity to support the next generation of students. His teaching approach is approachable and supportive, with a strong emphasis on fostering confidence, curiosity, and engagement.