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Jassim Moideen

Lead Data Scientist (Open to opportunities)

Jassim Moideen is a highly educated individual with a diverse academic background ranging from Computer Science and Data Science to Physics and Business.

He holds a Bachelor of Technology in Computer Science and Engineering from the University of Calicut and has furthered his education with a Master of Arts in Data Science from the Wolfram Summer School.

His academic journey includes studies in Financial Management at Saïd Business School, University of Oxford, and a focus on Physics, Electronics, and more at institutions like Christ University in Bangalore.

Jassim Moideen has a rich professional history having served in various capacities with renowned organizations across different industries.

He has held prominent roles such as Lead Data Scientist and Lead Data Science Officer at Qatar Airways, Senior Data Scientist at Vodafone, and Principal Data Scientist at Edge Networks Pvt. Ltd.

Moreover, his expertise extends to Big Data Architecture, Machine Learning, and Data Analytics through roles like Big Data Architect at Positive Bioscience and Senior Data Algorithm Specialist at the same company.

He has also contributed to academia as a Guest Lecturer in Data Science and Big Data at the Indian Institute of Management Kashipur.

Jassim Moideen started his professional journey as a GSM and 3GPP Project Engineer in wireless telecommunications at Wipro and has since diversified his experience into areas such as High-Performance Computing and Product Engineering Services.

His technical acumen is evidenced by certifications like Apple Certified Engineer from Transworks Information Services Ltd, showcasing his wide-ranging skills in the field of technology.

Highlights

Jun 30 · linkedin

GS Quant: The Open-Source Python Toolkit for Quantitative Finance from Goldman Sachs

GS Quant accelerates the development of quantitative strategies and risk management with cutting-edge analytics tools created by quants, for quants. Seamlessly access a wide range of intraday and end-of-day datasets natively in Python with GS Quant, facilitating derivative structuring, trading, and risk management with robust statistical packages. While the toolkit is free and open-source, access to Goldman Sachs’ specific data APIs and real-time market data is essential for full functionality, which can be costly. Despite some critiques about its simplicity and open-source strategy, GS Quant is considered a trusted tool in the industry.

Explore more at https://lnkd.in/gFvc4xsZ

#QuantFinance #OpenSource #PythonToolkit #TradingStrategies #RiskManagement #DataAnalytics #GoldmanSachs

GS Quant: The Open-Source Python Toolkit for Quantitative Finance from Goldman Sachs

GS Quant accel
Jassim Moideen
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Location

Doha Metropolitan Area