Syed M. Aun Haider

I have a deep interest in finance particularly in Investment Finance and Data Science. My experiences involve working with quantitative data to answer questions, solve problems, automate processes, and develop products by applying machine learning models. 

I am working as a Data Scientist at the State of Wisconsin Investment Board. In this role, I work closely with the Risk, Asset Allocation, and Investment divisions to meet the goals of 650,000 beneficiaries of the Wisconsin Retirement System. 

I graduated in December 2021 with a master's in science in Computational Finance and Risk Management from the Department of Applied Mathematics at the University of Washington (UW), Seattle. For my achievements, I received the Professional Excellence Award from UW. I am also pursuing the Certified Financial Analyst (CFA) charter (I passed the Level-I, Level-II, and Level-III exams on my first attempt and obtained marks in the 90th percentile for Levels I and II). 

I have developed expertise in a number of programming languages (listed below) and cloud-based platforms (GitHub and Microsoft Azure for Machine Learning and Project Management) which have improved my ability to generate insights, automate processes, and develop detailed models. 

By leveraging data, I propose and implement efficient solutions to meet the goals of project stakeholders. Moreover, I can value investment opportunities, develop mean-variance efficient portfolios, and price derivative contracts, and compute yield curve, duration, and convexity statistics of fixed-income securities.  

I have a BSc Honors in Accounting and Finance from Lahore University of Management Sciences. I graduated in 2018 with an Award of High Distinction (top 1% of students). My thesis project was on the valuation of petroleum companies to determine their intrinsic value in the market. I have completed research work in Azure Machine Learning, Simulation, Modelling, Analysis, and Monte Carlo Simulation.  

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