Widya Salim's Projects
Learning Backend and Stuff
[Python] This project aims to predict Airbnb listing price in London using sentiment analysis and Machine Learning models.
AirBnB Dataset Recommendation
[Python] Adopted 2SLS and Instrument Variable to solve the endogeneity problem in predicting train ticket price.
[Python] Proposed end-to-end (E2E) network analysis process needed to disrupt the spread of fake news by limiting the activity of infected nodes.
[Python] Surrogate models to explain the results of machine learning models to predict the diabetes status of individuals in the United States
[Python & Gurobi] Adopted Game Theory & Linear Programming models to optimizing the price and sourcing strategy for Catfish producers in the United States
Website for Jemel!
WEBSITE FOR JEMEL
[Python] Measured the change in Trading Asset Ratio (TAR) in Bank Holding Companies after Volcker Rule is imposed after 2008 Financial Crisis with Difference-in-Difference (DiD) Technique
Repo for Project Medibed
[Python] Utilised facial recognition (based on Deep Neural Network), similarity based filtering algorithm and Spotify API to recommend songs based on users' current mood.
[Python] Explored different Multiarmed Bandits algorithms to find the best election campaigns more effectively
[Python] Used network analytics methodologies to construct and analyse the global offshoring network contained in the Offshore Leaks papers.
[Python] Adopted classification, clustering and regression models to segment customers and predict purchasing behaviours for edible oils and FX futures.
[Python] Adopted Neural Network (LSTM), Time Series (ARIMA) and Sentiment Analysis (NLP) to predict Bitcoin prices
[Python] This project adopted Machine Learning models to predict a marketplace's user purchasing intention to reduce churn rate and increase conversion.
[Python] Machine Learning models to predict the diabetes status of individuals in the United States
an implementation of a Radial Basis Function Neural Network (RBFNN) for classification problem.
My personal repository
[SQL, Django & Heroku] Deployed a Heroku app that visualizes Maritime Energy Efficiency statistics.