# Bowen Zhang > Software and Data Engineer at Discern.io Location: New York, New York, United States Profile: https://flows.cv/bowen I would describe myself as adaptable and self-compassionate. These characteristics promote me to think deeper and continuously and prompt me to discover new areas. I decided to study abroad with no previous experience. Since each country and culture is not isolated, I was interested in adapting to a foreign culture and meeting new people. I successfully overcame obstacles and applied these experiences and lessons when I faced new dilemmas. Over the years of studies and internships, I have built up lots of skills and qualities that I believe will benefit your organization. I have a solid communication ability and I am a strong team worker. I understand how to bring in coworkers' skills and experiences. I am very good at collaborating with others. Highlights of my experience include, in particular, working on a materials recovery team during my final internship. I was praised by my mentor as part of the team for creating a formal data extraction process for the entire group. I am the type of person who will work hard under pressure and never be depressed when facing difficulties. And I believe I can bring positive returns to your company as well. ## Work Experience ### Software and data engineer @ Discern.io Jan 2022 – Present | New York, United States ### Data Analyst @ ask2.ai Jan 2021 – Jan 2021 | New York, United States 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. ### Research Assistant @ Columbia University in the City of New York Jan 2021 – Jan 2021 | New York 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. ### Research Assistant @ New York government, the urban resource recovery working group Jan 2021 – Jan 2021 | New York, United States 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. ### Research Assistant @ McGill University Jan 2019 – Jan 2019 | Montreal, Canada Area 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. ### Research Assistant @ McGill University Jan 2019 – Jan 2019 | Montreal, Canada Area Conducted research on different methods of constructing models of Point vortices dynamics on the plane and on the s-sphere and implemented those methods on the plane and the sphere on MATLAB Studied the above-mentioned methods’ accuracy and stability for periodic orbit solutions to check that its consistency amongst higher order PDEs. Generalized the multiplier method to the motion of particles confined to an arbitrary surface by considering the surface as the manifold defined by a fictitious conserved quantity ### Research Assistant @ McGill University Jan 2019 – Jan 2019 | Montreal, Canada Area 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. ### Intern Analyst @ China Development Bank Jan 2018 – Jan 2018 | Chengdu, Sichuan 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 @ McGill University Jan 2018 – Jan 2018 | Montreal, Canada Area 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. ### Intern analyst @ eToro Jan 2017 – Jan 2017 | Shanghai 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 ## Education ### Master's Degree in Operations Research Columbia University Jan 2020 – Jan 2022 ### Bachelor of Science in mathematics and computer science McGill University Jan 2016 – Jan 2020 ## Contact & Social - LinkedIn: https://linkedin.com/in/bowen-zhang-b02523144 --- Source: https://flows.cv/bowen JSON Resume: https://flows.cv/bowen/resume.json Last updated: 2026-03-20