Kanishka Bhattacharya
Adjunct Associate Professor of Management Science and Operations
BSc (India) MSc DPhil (Oxford)
Kanishka started his career in academia where we worked on computationally efficient algorithms to find complex patterns in very large-scale human genomic datasets. He then moved on to work for hedge funds as a quant, where he built statistical algorithms for high frequency trading.
Since 2014, Kanishka has worked in technology and management consulting, where he provides strategic advice on leveraging digital and ai for large corporations. He builds machine learning and ai driven products, particularly GenerativeAI powered tools and applications.
He has taught Statistics and Machine Learning since 2008, starting at Oxford University before joining London Business School in 2019. He also teaches leadership in digital and innovation.
- kbhattacharya@london.edu
- +44 (0)20 7000 8876
Teaching portfolio
Our teaching offering is updated annually. Faculty and programme material are subject to change.
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Masters Degrees core courses
A key part of our Masters programmes curriculum.
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Data Science for Business
Data Science for Business
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Data Science for Business
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Masters Degrees electives
Optional courses providing a deep dive into specialist areas.
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Using Analytics for Social and Environmental Impact
The primary objective of this course is to enhance the participants’ ability to use analytics to develop insights in a wide range of business situations. We will work on five in-depth real-world case studies developed by the instructor. For each case, we will start with breaking down what seems to be a complex and ill-structured problem to simpler subproblems that are amenable to analysis. Through a mixture of lectures and workshops, we will use data analysis (visualization, regression) and modelling techniques (Monte-Carlo simulation, decision-tree analysis, optimization) to build progressively more sophisticated models that allow us to evaluate possible alternatives, make sensible recommendations, and serve as the basis for communicating findings and influencing decisions. After each session, participants will have the opportunity to further refine the models developed in class and prepare a presentation for the management of the company featured in the case study. PROGRAMMES WITH THIS ELECTIVE
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Using Analytics for Social and Environmental Impact
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Executive Education
Short programmes offering academic excellence, global focus and exceptional diversity of perspective.
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