Asad S. Hussain, PhD, CFA
Verified Expert in Engineering
Data Scientist and Developer
London, United Kingdom
Toptal member since July 25, 2022
Asad has a doctorate in physics and specializes in nuclear fusion, theoretical fusion materials, and plasma fluid dynamics. He also holds a master's degree in engineering and a postgraduate diploma in mathematics and is a Chartered Financial Analyst (CFA). Asad has been applying his knowledge to developing models in automated pricing processes and statistical analysis of financial markets.
Portfolio
Experience
- Data Analysis - 10 years
- Monte Carlo Simulations - 10 years
- Differential Equations - 10 years
- Python - 9 years
- SQL - 7 years
- Simulations - 7 years
- Data Visualization - 5 years
- Excel VBA - 4 years
Preferred Environment
Windows, Linux, PyCharm, GitHub
The most amazing...
...project I've worked on was determining demand destruction in the UK business energy consumption during COVID-19.
Work Experience
Senior Quantitative Analyst
Engie UK Markets
- Developed option pricing models for various electricity market physical assets and financial products.
- Developed trading strategies around physical capacity markets.
- Handled the statistical analysis of historical forecasts and outturns of renewable energy (solar and wind) and determined offsetting flexible energy (batteries and pumped storage) requirements.
Pricing Manager
Sefe Marketing and Trading Retail Ltd
- Developed an automated pricing tool for market-making and accurately pricing sales contracts.
- Determined the demand destruction in the UK business energy consumption during COVID-19 using automated meter readings (AMR).
- Analyzed the realized risk for variational forward agreements.
Quantitative Analyst
Arrow Global Group PLC
- Automated the monthly reporting of revenue and acquisitions.
- Developed rolling credit default in secured and unsecured loans.
- Created a blended internal rate of return for multiple investments.
Research Associate
University of Manchester
- Developed a pythonic approach for digital image correlation in stressed nuclear graphite.
- Examined results of nuclear scattering to determine stresses.
- Analyzed and processed x-ray tomography of nuclear graphite.
Experience
Ph.D. Thesis in Nuclear Fusion
In this project, I used:
• Magnetohydrodynamics, modified computational fluid dynamics, and variational calculus for the relaxation of merging magnetic flux ropes in plasmas;
• Monte Carlo N-particle (MCNP), LAMMPS molecular dynamics, and SRIM and TRIM based on binary collision approximation for synergistic effects of plasmas and neutrons in fusion materials.
Education
Postgraduate Diploma in Mathematics
Open University - Milton Keynes, UK
Ph.D. in Nuclear Fusion
University of Manchester - Manchester, UK
Master's Degree in Mechanical Engineering, Nuclear Engineering
University of Manchester - Manchester, UK
International Summer Institute in International Politics and Music
Seoul National University - Seoul, South Korea
Certifications
Chartered Financial Analyst (CFA)
CFA Institute
Energy Markets Training Programme
European Federation of Energy Traders (EFET)
International Politics and Korean Music
Seoul National University
Skills
Tools
PyCharm, GitHub, Excel 2016
Paradigms
High-performance Computing (HPC), Variational Methods, DevOps
Languages
Python, Excel VBA, SAS, SQL
Frameworks
.NET
Platforms
Windows, Linux
Other
Data Analysis, Differential Equations, Fluid Dynamics, Computational Fluid Dynamics (CFD), Magnetohydrodynamics, Data Visualization, Fractal Geometry, Number Theory, Monte Carlo Simulations, Simulations, Physics, Vibration Analysis, Music, Politics, International Affairs, Blue Prism, Digital Image Correlation (DIC), Monte Carlo, Finance, Trading, Energy
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