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Andrea tutors in Hong Kong, Hong Kong

Andrea B.

Private tutor in Hong Kong, Hong Kong

Education

CQF Certificate in Quantitative Finance 2023 - Relevant Coursework: Quantitative Finance, Risk Models, Equities & Currencies, Data Science & Machine Learning, Options, Fixed Income & Credit, Python, C++ - Delivered by Fitch Learning, Awarded by CQF Institute City University of Hong Kong (Hong Kong SAR): PhD Finance Sep 2017 - Feb 2023 - Relevant Coursework: Asset Pricing, Econometrics, Machine Learning - Thesis: ”Returns Regimes Based Factors in the Cross-Section of Average Stock Returns”, - Supervisor: Professor MA Yue - Qualifying Panel and Examiners: Prof. WANG Junbo, Dr WU Xueping, Dr LAI Huiwen, Dr WEI Steven University of Rome “Tor Vergata” (Rome, Italy): M.S. in Quantitative Finance, cum laude Jul 2016 - Relevant Coursework: Quantitative Finance, Econometrics, Time-Series, Portfolio Management - Thesis: ”Dynamic Asset Allocation Under Regime Switching: An In-Sample and Out-of-Sample Study Under the Copula-Opinion Pooling Framework” - Supervisor: Professor Stefano Herzel London School of Economics and Political Science (London, UK) Aug 2013 Summer School in Financial Markets Lund University, School of Economics and Management (Lund, Sweden) Jan 2013 - Jun 2013 Exchange Semester Marche Polytechnic University (Ancona, Italy): B.S. in Economics and Finance, cum laude 2011 - Relevant Coursework: Microeconomics, Macroeconomics, Mathematics, Statistics”

Experience

- Programming Languages: Python (advanced), Matlab (intermediate), C++ (basic) - Databases: SQL, Oracle, MySQL, DB2 - Visualization: Matplotlib, Seaborn, Plotly - Statistical Software: Stata, SAS, R - Reference Management: EndNote, ProQuest RefWorks - Other: Latex, Overleaf, Git, GitHub, MS Windows, MS Office, Linux server Freelance Consultant and Tutor 2019 - Present - Delivered more than 1500 hours of tutoring and consulting to 150 students and professionals in Python, Statistics, Data Science, Finance and Economics - Advised and led professional traders, portfolio managers, and analysts from top financial institutions and hedge funds (JP Morgan, BlackRock, Gazprom) to design and prototype Python scripts for several tasks - Provided coding and data analysis educational and consulting services to professionals in Sales, Marketing, Video Games, Consulting, Logistic, and Financial Payments industries Hong Kong Graduate School of Advanced Studies (Hong Kong): Assistant Professor Feb 2021 - Oct 2022 - Managed and coordinated a team of three interns - Maintained contacts and communication with the External Adoption Team at UC Berkeley Division of Computing, Data Science, and Society - Prepared the courses Foundation of Data Science for Finance and Data Science for Finance, adapting the UC Berkeley open-source Data8 and Data100 courses - Set up the learning management system/application (Canvas) website - Configured the JupyterLab remote server, and linked it to Canvas to let students practice coding on the hosting server - Set up and configured the script auto-grader Otter-Grader HEC Liege Executive DBA (Online): Lecturer Jul 2022 Executive Doctorate in Business Administration provided online in partnership with China Education Group (CEG) Hong Kong - Provided 12 hours of online lectures on Financial Economy and Monetary Policy to a group of 15 students - Marked and commented practice and final essays Teaching Assistant - CB3410 Financial Management Sep 2020 - Jun 2021 · 10 mos - Provided general teaching and administrative assistance to the course CB3410 Financial Management - Graded homework assignments, mid-terms, and final exams, invigilated several in-class and online exams Part-time Research Assistant - Dr Han Dec 2020 - Mar 2021 · 4 mos - Searched, identified, and prepared Chinese firms’ Credit Default Swap (CDS) data - Designed and written a Python script to perform textual manipulation and bottom-up aggregation of OECD countries’ regional Covid-19 data Part-time Research Assistant - Dr Alimov May 2019 - Jul 2019 · 3 mos - Screened and identified relevant data for a research project related to corporate finance, ESG, and governance - Designed and written SAS scripts for data cleaning, manipulation, and integration of several datasets: company relationships and ownership from FactSet, ESG scores, cross-listing, and accounting from Refinitive Datastream Wealth Management & Personal Finance Analyst Prometeia Nov 2013 - Aug 2017 · 3 yrs 10 mos - I worked as part of a team that provide software solutions and data analysis service designed to support the wealth management operations of leading financial institutions. - developed and tested a financial portfolio product picking optimization software - written and tested scripts in SQL, Oracle, Python, Excel for software quality assurance - designed, prototyped, implemented and tested financial algorithms of a proprietary software that support MiFID complaint commercial planning processes; tools for new product development by testing its placement potential within the customer base, commercial targets and budgets based on the investment needs of individual clients (client-by-client approach, pioneered by Prometeia), institutional suitability and advisory models - implemented software solutions (financial engines) for bank wealth management departments within the MiFID/ESMA-compliant framework for top-tier Italian banks - created complex SQL scripts for data analysis, elaboration and implementation of software testing procedures - programmed and developed a financial data warehouse, ETL and data integration - led project managing for the generation, definition and delivery of banking customers analytics and in-depth impact studies, taking into consideration the relevant regulations MiFID/ESMA - collected business requirements definition and conducted functional analysis, - managed clients/users requests

Availability

Any day at any time

Can Meet

Up to 1 hour away for no additional charge

Hobbies

I am a photography enthusiast, I mainly shot abstract and street photography, I like to edit photographs and playing with images with several software. I am also genuinely interested in AI, Machine Learning, and Deep Learning. I like learning more about coding and in general open-source software such as Python.

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