Ishaan Gangwani is a student at Indus International School in Pune, India. He has developed a strong interest in finance, technology, and economic research.
As the founder of Ishaan Trading, an algorithmic trading firm specialising in Indian index derivatives, he applies financial theory to real-world markets. Over the past two years, his mid-frequency trading strategies have generated more than $60,000 (INR 5 million) in profits.
Ishaan has also pursued several academic programmes in finance and technology. He completed the Executive Program in Algorithmic Trading from QuantInsti and earned a certification in Financial Engineering from IIQF. In addition, he studied Machine Learning and Deep Learning through a course offered by NUS.
These experiences have helped him develop skills in time series analysis and machine learning. He has also explored AI tools, including Amazon SageMaker and Lex, and their practical applications in telecommunications and finance.
Research on the Indian Economy
Ishaan recently achieved an important academic milestone. His research paper, “Structural Transformation and Resilience of the Indian Economy (2014–2019): A Novel ESRS-Based Input-Output Network Analysis,” was accepted at the MIT Undergraduate Research Technology Conference (MIT URTC 2024).
Organised by MIT students in collaboration with IEEE, the conference provides a platform for sharing undergraduate research across different fields.
Ishaan’s work examines structural transformation and economic resilience in India between 2014 and 2019. His research uses an ESRS-based input-output network analysis to investigate these economic themes.
This achievement reflects Ishaan’s commitment to combining academic research with his interests in finance and technology.
Congratulations to Ishaan on this outstanding achievement!
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