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Babi Rai

Babi Rai

Student

University of Surrey

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Project

Risk and Returns: The Sharpe Ratio

My New Track

Finance Fundamentals

My New Course

Introduction to Python

Data virtuoso, playing the chords of information to create harmonious insights.

My Work

Take a look at my latest work.

workspace

Risk and Returns: The Sharpe Ratio

workspace

Customer Analytics - Preparing Data for Modeling

workspace

Project

workspace

Risk and Returns: The Sharpe Ratio

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate Python
Supervised Learning with scikit-learn

My Work Experience

Where I've interned and worked during my career.

Bright Network | Jul 2021 - Jul 2021

Investment Banking & Asset Management Intern

- Gained understanding of financial markets from J.P. Morgan. - Gained insights about M&A from Macquire and Goldman Sachs and about private equity from Blackstone. - Acquired information about operations and business of Macquire, J.P. Morgan and Goldman Sachs. - Acquired the fundamental knowledge and abilities to advance in the investment banking and asset management industries - Completed a sample project about life cycle of an asset for Macquarie Infrastructure and Real Assets
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ChalknDuster Tutors | Jan 2021 - May 2021

Mathematics Tutor

N/A

Loughborough University | Jul 2019 - Aug 2019

Summer Research Intern

- Modelling 2D passive and active nematic liquid crystal by using the algorithm of the project supervisor. - Rendered movies from multiple simulations of flow-orientation field to qualitatively describe the active nematics and search for region of active turbulence by varying the simulation parameter. - Wrote multiple python and bash scripts to statistically characterise the active nematics by plotting correlation functions of random quantities such as vorticity, density and director field, probability density functions and statistical moments of vorticity, velocity and director field. - Analysed shapes of the probability distributions by measuring skewness and kurtosis. Removed noise from the data generated from the simulation. - Assisted in debugging the source code written in C.

My Education

Take a look at my formal education

Master's degree, MathematicsUniversity of Surrey | 2022
Bachelor of Science - BSc, Mathematics with StatisticsLoughborough University | 2020

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