Experience

Discern.io
• Technology, Information and Internet
• Software and data engineer

  • Jul 2022 - Present


ask2.ai

• United States
• Financial Services
• 1 - 100 Employee

• Data Analyst

  • Sep 2021 - Dec 2021

  Proposed and executed two forecasting frameworks to predict the performance of 1330 mutual funds using models such as long and short-term memory networks and feedforward neural networks with time-series data and alternative data. Collaborated with team members to obtain a clear conclusion of the linearity between prediction performance and actual results, returning a remarkably small out-of-sample root mean squared error of 0.05. Proposed and executed two forecasting frameworks to predict the performance of 1330 mutual funds using models such as long and short-term memory networks and feedforward neural networks with time-series data and alternative data. Collaborated with team members to obtain a clear conclusion of the linearity between prediction performance and actual results, returning a remarkably small out-of-sample root mean squared error of 0.05.



Columbia University in the City of New York

• Higher Education
• 1 - 100 Employee

• Research Assistant

  • Sep 2021 - Dec 2021

  Assessed an implicit attention mechanism based on random feature maps working with a sixth-power kernel; Led a team of six to deliver concentration results for it. Proposed two types of random feature maps for kernel linearization, both unbiased with a reasonable error term. Managed the Performer method to accurately and practical estimate regular full-rank attention. Assessed an implicit attention mechanism based on random feature maps working with a sixth-power kernel; Led a team of six to deliver concentration results for it. Proposed two types of random feature maps for kernel linearization, both unbiased with a reasonable error term. Managed the Performer method to accurately and practical estimate regular full-rank attention.



New York government, the urban resource recovery working group

• Research Assistant

  • Mar 2021 - Sep 2021

  Prepared and managed data extraction, transformation, and documentation for a large waste management study which consists of thousands of pdf records ( Landfill Annual/Quarterly Reports). Extracted data from pdf files into CSV files in Python, conducted data cleaning, imputed missing data. Understand the CDW material flows and complete the data visualization of the patterns of recycled materials that are available for reuse on construction projects in Tableau. Prepared and managed data extraction, transformation, and documentation for a large waste management study which consists of thousands of pdf records ( Landfill Annual/Quarterly Reports). Extracted data from pdf files into CSV files in Python, conducted data cleaning, imputed missing data. Understand the CDW material flows and complete the data visualization of the patterns of recycled materials that are available for reuse on construction projects in Tableau.



McGill University

• Canada
• Higher Education
• 700 & Above Employee

• Research Assistant

  • May 2019 - Jul 2019

  Led the data analysis team to execute research on the impact of Airbnb short-term rentals, it involved close cooperation among members to share information and develop solutions to meet broad array of deliverables. Performed data preprocessing, cleared out-of-range values and missing values, increased the quality of data. Designed a new database to manage daily Airbnb transaction data, organized and reviewed more than a million data points to locate required data for entry, and converted data workflows from Python. Processed data integration and constructed a model to assess common features based on historical Airbnb price data using the above-mentioned scripts. Analyzed and developed technical and functional specifications for databases.Participated in predictive modeling, tested multiple classification models such as Random Forest and regression models, and performed hyperparameter tuning to optimize model predicting power in Python. Show less

• Research Assistant

  • Jan 2019 - Jul 2019

  Conducted research on different methods of constructing models of Point vortices dynamics onthe plane and on the s-sphere and implemented those methods on the plane and the sphere onMATLABStudied the above-mentioned methods’ accuracy and stability for periodic orbit solutions to checkthat its consistency amongst higher order PDEs.Generalized the multiplier method to the motion of particles confined to an arbitrary surface byconsidering the surface as the manifold defined by a fictitious conserved quantity Show less

• Research Assistant

  • Jan 2019 - Apr 2019

  Used internet channels such as Yahoo Finance, collected daily quotation data for 10 listed companies over a ten-year period and conducted backtesting using this real market data in order to compare the performance of different allocation strategies.Analyzed the stock price returns and volatilities in Python, tested the mean-variance models with various settings, in particular, studied the impact of models on asset allocation returns under different Python packages. In the moving window test, compared the impact of different rolling window sizes on portfolio performance and finished reports. Show less



China Development Bank

• Banking
• 500 - 600 Employee

• Intern Analyst

  • Aug 2018 - Aug 2018

  Analyzed the default risk of the borrower by their credit ratings and financial performance. Evaluated the above-mentioned obligator’s financial status by their bank statement, cash flow statements and etc. Constructed a 20-page report by collecting and researching more than 500 documents, providing information that expedites these projects for the team. Analyzed the default risk of the borrower by their credit ratings and financial performance. Evaluated the above-mentioned obligator’s financial status by their bank statement, cash flow statements and etc. Constructed a 20-page report by collecting and researching more than 500 documents, providing information that expedites these projects for the team.

• Teaching Assistant

  • Jan 2018 - Apr 2018

  Holding one hour tutorials weekly through school year; organized and provided latest course materials; explained concepts of Multivariable Calculus(e.g Polar coordinates, Partial derivatives, Multiple integrals) to students and helped them about their assignments. Developed in-depth understanding of related courses; enhanced skills in communication, patience and summarization. Holding one hour tutorials weekly through school year; organized and provided latest course materials; explained concepts of Multivariable Calculus(e.g Polar coordinates, Partial derivatives, Multiple integrals) to students and helped them about their assignments. Developed in-depth understanding of related courses; enhanced skills in communication, patience and summarization.



eToro

• United Kingdom
• Financial Services
• 700 & Above Employee

• Intern analyst

  • Aug 2017 - Aug 2017

  Cooperated with Lion Financial Group to construct an investment strategy on a simulated portfolio. Predicted stock price trends using basic k-line chart analysis such as Dow Theory, Moving Average Convergence /Divergence, Relative Strength Index. Updated on the latest quotations from the Stock Exchange and presented daily reports on currency trading such as EUD/USD, JPY/USD, XAU/USD Cooperated with Lion Financial Group to construct an investment strategy on a simulated portfolio. Predicted stock price trends using basic k-line chart analysis such as Dow Theory, Moving Average Convergence /Divergence, Relative Strength Index. Updated on the latest quotations from the Stock Exchange and presented daily reports on currency trading such as EUD/USD, JPY/USD, XAU/USD