Silei Huo
Data-driven problem solver with extensive experience in Banking and Technology (Payments), focusing on Strategic Planning, Product Management, and Data Analytics. MBA from London Business School.
Data Science | FinTech | Payment Processing | Banking
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Data Science Projects
Selected projects in data science, machine learning, NLP and neural network
Q&A Chatbot, a chatbot that can answer questions from your document.
This Q&A Chatbot leverages the Langchain framework, the power of OpenAI Embeddings and LLM models to proficiently answer questions based on the documents you upload.
To interact with the Chatbot, please click here.
Detecting fradulent e-commerce payment through predictive modelling: XGBoost and LGBM
Applying machine learning models on e-commerce transactions dataset, which contains a wide range of features from device type to product features, to detect fraudulent transactions and improve the efficacy of alerts to reduce losses from fraud.
Credit risk modeling & scorecard feature development using tree-based model
Utilizing tree-based model (XGBoost) to predict credit risk (probability of default) for loans, leveraging interation_constraints to improve interpretability of the model and tree structure, and exploring scorecard feature development based on feature importance and tree plot.
Forecasting megabank stock price through time series analysis & LSTM
Time series analysis for megabank stocks in the past 20 years, comparing stock price trend, seasonality, and return; predicting stock price using LSTM.
Recommender systems making use of both content-based filtering and collaborative filtering, NLP on text data
Children’s Book Recommendation APP
A children’s book recommendation mini-APP aims to help children improve English literacy. Recommender systems include content-based filtering, item-item collaborative filtering and Matrix Factorization models. NLP(Natural Language Processing) and other Machine Learning techniques applied.
Data Analytics & Visualizations
London Cycling Analysis using Tableau
Analyzing cycling journey across London during summer (July & August) in 2022.
