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An experienced data scientist currently based in Tokyo. I have experience in data engineering, data analysis, model building, business analysis, automation, and dashboard creation. I am confident in my ability to produce high-quality and highly explainable research reports and presentations.
• Implemented a range of simple to complex data models and pipelines through Python and SQL. • Designed and implemented a data pipeline to ingest multiple data sources and formats from Snowflake, AWS s3, and Postgres
Grade : Distinction Modules in Natural Language Processing, Statistical Learning, Applied Data Mining, Distributed AI and Building Big Data Systems
• Worked as a team of 6 analysts to using data science techniques develop quantitative models for portfolio management and stock trading; achieving excess returns of 8.5% by year end. • Researched and implemented a Recurrent Reinforcement Learning (RRL) model for adaptiv
• Taught students aged 12-19, a variety of subjects including English language, Mathematics, Physics, Chemistry and Social studies. • Created teaching materials and supervised extra-curricular activities. • Provided exam preparation coaching for students taking international qualifications (A-levels, SATs, and ACTs).
Grade : 2.1 Modules in Probability and Statistics, Likelihood Inference, Stochastic Processes, Economics and Quantitative Finance
• Used quantitative and qualitative analysis skills through OHIMs’ WIND platform to provide stock and investment reports on major US companies Tesla and AMD to Fund Managers. • Performed Discounted Cash Flow(DCF) and Price Equity(PE) analyses on US and Chinese companies