Experience

UM6P - Africa Business School

• Morocco
• Higher Education
• 1 - 100 Employee

• Assistant Professor

  • Mar 2021 - Present



Eindhoven University of Technology

• Netherlands
• Research Services
• 700 & Above Employee

• Post Doctoral Researcher

  • Nov 2018 - Jan 2021

  Researcher in Quantitative Finance, Data Science, Risk Management and Supply Chain Finance. Researcher in Quantitative Finance, Data Science, Risk Management and Supply Chain Finance.



Indian Institute of Management Bangalore

• India
• Higher Education
• 700 & Above Employee

• Doctoral Candidate (FPM)

  • Jun 2014 - Oct 2018

  Area: Decision Sciences (Courses - Statistics, Data Science, Operations Research, Quantitative Finance and Marketing)Research Domain: Financial Time Series, Risk Management, Stochastic Modelling, Google Search Trends, Blockchain, Social Networks. Area: Decision Sciences (Courses - Statistics, Data Science, Operations Research, Quantitative Finance and Marketing)Research Domain: Financial Time Series, Risk Management, Stochastic Modelling, Google Search Trends, Blockchain, Social Networks.



Reserve Bank of India (RBI)

• India
• Government Administration
• 700 & Above Employee

• Statistical Analyst

  • May 2013 - Aug 2013

  In this project I tried to study the Indian Money Velocity Fluctuations. Specifically we tried to understand the behavior of money velocity for different money stock measures in India for the period 1982 – 2012 along with the important factors by which they get influenced. The first part checks the random walk hypothesis for money velocity fluctuations. The results show that the velocities do not exhibit random walk which is in contrast with the results for some developed economies. The causality tests show that the recent developments in electronic transactions are yet to have an impact on money velocity. The last part analyzes the impact of external sectors which includes the trade, the debt inflows, remittances from abroad, investments in India and the interventions from Reserve Bank of India on money velocity suitably in a VAR (1) framework and responses of the variables in future to shocks in the other variables at present have been analyzed using impulse response functions.



Indian Institute of Management Ahmedabad

• India
• Education Administration Programs
• 700 & Above Employee

• Summer Internship

  • May 2012 - Jul 2012

  A variance gamma process is a three parameter stochastic process which essentially uses the Brownian Motion to model log return prices. The advantage of this process is that it provides control over skewness and kurtosis of return. In the project we tried to model the log return of Nifty data. A variance gamma process is a three parameter stochastic process which essentially uses the Brownian Motion to model log return prices. The advantage of this process is that it provides control over skewness and kurtosis of return. In the project we tried to model the log return of Nifty data.



Indian Institute of Technology, Kharagpur

• India
• Higher Education
• 700 & Above Employee

• Summer Internship

  • May 2011 - Jul 2011

  In this project we tried to model the transport of vibration induced particle both through experiments and simulations. In this project we tried to model the transport of vibration induced particle both through experiments and simulations.



Indian Institute of Technology, Kanpur

• India
• Higher Education
• 700 & Above Employee

• Summer Internship

  • May 2010 - Jul 2010

  The velocity of conventional underwater vehicles is limited by the drag produced by skin friction i.e., interaction of liquid with the vehicle surface. Traditional ways of improving propulsion and streamlining the vehicle does not lead to significant speed increase. However, if surface area of the vehicle in contact with the liquid phase gets reduced, then skin friction can be eliminated considerably. Supercavitation helps in exactly doing that. It can drastically reduce the wetted surface area by enveloping the vehicle with gaseous water vapor, leading to an order of magnitude reduction in drag, if the body is shaped properly. Drag is localized at the nose of the vehicle, where a cavitator generates a cavity that completely envelops the body, at the fins and on the vehicle after-body. Here,we focused on on the physics behind supercavitation and the forcesacting on supercavitating vehicles.