Dedicated graduate with an MEng in Mechanical and Industrial Engineering from University of Toronto. Equipped with a strong foundation in mathematical finance, data analysis and machine learning. Demonstrated expertise in data and business analytics and project management. Proficient in range of analytical tools including Excel, Python(Panda, Numpy, yFinance), R language,etc. Seeking to leverage data and business analysis skills in a graduate program or entry-level position.
● Working in a team of statisticians, biostatisticians and/or data scientists
● met once a week with the statistics team in an informal/casual setting and provided scheduled/drop-in support to grad students, faculty and researchers outside of the field of statistics who are seeking statistical advice.
● Make formal statistical discussion regarding different researchers’ speech, giving statistical suggestions to help improve their presentation.
My work involves controlling the fund conditions of the projects invested using the customer entrusted assets
● Summarized the bank summary table, project asset management summary table, project information table, etc.
●Collaborated with stakeholders across departments to define requirements for new projects.
●Monitored project timelines and budgets by tracking milestones, deliverables, tasks through hundreds of daily reports.
● Verified and reviewed credit records through the authority site; compiled monthly reports about the project review of credit records managed. Identified and analyzed user requirements, procedures and processes to develop optimization strategies.
● Use the Microsoft advance tool (vlookup and formula) of Excel to calculate the list of new employees, payroll, attendance and other forms and organize the basic information of all materials sold and to help report the market information of materials.
● Assist in screening resumes for interviews and participate in training new employees to help them understand the basic information of the position
●Generated reports and obtained data to develop analytics on key performance and operational metrics.
-Microsoft Office(Excel, Word, PowerPoint…)
-Python (Numpy,Panda,yFinance)
-Machine learning
-R
-MATLAB
-Github
-Latex
-Google Colab
-IBM Cognos Analytics
-Google Looker Studio
-Jupyter notebook
Mean-Variance Portfolio Selection Strategies
The purpose of this assignment is to compare computational investment strategies based on minimizing portfolio variance and maximizing Sharpe ratio.
Equity valuation of two publicly traded companies using fundamental analysis approach
Analysis including Ratio, Common size, Pro forma financial statements, income statement and balance sheet and forecast stock value