Xinran Liu Email & Phone Number

Singapore

Singapore

- Building Value at Risk python models and monitoring derivatives risk from book and strategy levels. - Option Greeks risk monitoring with stress testing.- Proprietary strategies reporting and analysis. - Integration with data platform to clean and transform data from central platform automatically. - Daily derivatives pnl reconciliation and settlement.

Singapore

• Leveraged Python and machine learning techniques to predict US national soybean yields for both actual and USDA projected value, utilizing authoritative data from NOAA and USDA. Achieved a good model performance with.
• Developed and executed proprietary trading strategies for Soybean Meal futures, synergizing with the physical trading team and leveraging both technical and fundamental analysis to optimize trading outcomes.
• Built up internal database and automated daily email update of key financial metrics, including realized volatility, commodity volatility seasonality, and Value at Risk (VaR) using Monte Carlo simulation, all with one.

NBS

• Help Professors with Institutional Review Board(IRB) application process and carry out online experiments with human objects. Gather responses and perform data analysis using SPSS.

Singapore

• Explored complaint management of different brands on Twitter using sentiment analysis and regression on 2.8 million tweets. Successfully identified features that have a high statistical significance to the customer’s.

Shanghai, China

• Played a pivotal role in data processing, feature engineering, model building and testing utilizing MySQL and python during the end-to-end development of an anti-fraud risk model within the data management department.
• Significantly enhanced model accuracy by 3%, overseeing the monitoring of over 1 billion transaction records.

Singapore

• Assisted in the research work at the Laboratory of AI in Genomics, utilizing Feedforward Neural Network, pandas, numpy and matplotlib to predict nucleotide reactivity on newly generated noisy data from the wet-lab.
• Applied PyTorch Geometric and Graph Neural Network to predict the chemical properties of molecules. Presented the research process and the findings to the higher management team.
• Supervised by Dr. Mile SIKIC and Ivona Martinović.

Jönköping, Jonkoping County, Sweden

• Leveraged python and PyTorch to employ advanced techniques for developing a news article recommender system which was trained on a vast dataset of Swedish news articles. The efficiency of multiple models was thoroughly.
• Collaborated closely with stakeholders and the company's tech lead and engaged in daily discussions with the Swedish development team.

Singapore, Singapore

• Conducted comprehensive market research to strategically prioritize essential features and subsequently crafted the application's design to align with the insights garnered.
• Collaborated closely with a dynamic and cross-functional agile team to architect and develop a cutting-edge IoT management and data analytics platform. Crafted engaging and user-friendly front-end interfaces using.

Bachelor'S Degree, Computer Science, First Class Honours

- NTU Science and Engineering Scholarship, SM2 - NTU President Research Scholar - NTU Open Source Society Memeber - Developer Student Club.

Exchange, Computer Science

- Data Science - Natural Language Processing - Software Engineering Project Management - Information Security - Next Generation Web

Summer Program

- Management160: Entrepreneurship and Venture Initiation - Statistics101C: Introduction to Statistical Modeling and Data Mining with R

Exchange, Susep

- CS2113/T: Software Engineering & Object-Oriented Programming Individual Project: Task Scheduler (Java) Group Project: Spendvelope-online.

High School Diploma

- Students' Union Science and Technology Department Head - Model United Nations Club Deputy Secretary General - School Volleyball Team.