I specialize in supporting Fintech, Banking, and Asset Management with expertise in Data Analytics, Machine Learning, and AI. With a keen insight for identifying trends and patterns, I deliver actionable insights that drive business growth. My research uses rigorous logic and empirical testing to uncover universal market laws and translate them into successful portfolio strategies.
about me
Specialization in Probability and Statistics
Specialization in Machine Learning
As a Data Scientist and Quantitative Researcher, my interest lies primarily in the financial industry. My primary focus revolves around conducting statistical analysis, time series forecasting, portfolio optimization, and anomaly detection. I am passionate about leveraging alternative data sources in my research and detecting patterns within datasets, particularly those stemming from diverse distributions. By delving deep into the intricacies of datasets, I can extract meaningful and actionable findings that drive impactful decisions and create lasting value for businesses and stakeholders.
As an experienced Data Scientist and Machine Learning engineer, I have had the privilege of working with industry leaders from Gaming, Technology, and Education sectors to deploy large-scale ML solutions. My work has been focused on using data-driven insights to drive revenue growth and increase sales for multi-million customer bases. With my expertise in subject, I have helped large companies to uncover hidden patterns of Big data to scale businesses and drive revenue growth.
In a world where financial markets are shaped by complex…
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The Efficient Market Hypothesis (EMH), introduced by Eug…
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The statistical concept of positive…
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