selinayanganlan
Senior Data Analyst at Westpac and ex KPMG Australia
WestpacSydney, New South Wales, Australia
Pinned Repositories
Airbnb-Pricing-Prediction
Predicted the nightly prices of Airbnb listings by 5 supervised learning models.
Business-Analytics-using-SQL-Power-BI-and-Python
Identified the trends of orders, products and customers by generating complex SQL queries and visualizing data in Power BI for specific business questions. Optimized discount rate to increase sales using Python.
COVID-19-Time-Series-Cases-Prediction
Forecasted the daily confirmed cases of COVID-19 of a country given its historical daily confirmed cases by 6 predictive models.
Marketing-Analysis-and-Positioning-for-Telsa
Natural-Language-Processing-and-Modelling
Predicted whether the product of an online clothing retailer will be recommended based on customer reviews and other numerical product features.
NLP-Text-Summarization
Produced a summary for the definition of "Machine Learning" from Wikipedia using NLP techniques.
NLP-Topic-Modelling-for-Quora
Categorised the questions in Quora into 20 topics using NLP techniques.
Profiling-and-Analyzing-Data-for-Yelp
Profiled the data and came up with inferences and analysis for predicting the overall star rating for the businesses in Yelp.
Recommender-Systems-for-IMDb
Developed 3 recommender systems for the movie provider IMDb.
selinayanganlan.github.io
selinayanganlan's Repositories
selinayanganlan/NLP-Topic-Modelling-for-Quora
Categorised the questions in Quora into 20 topics using NLP techniques.
selinayanganlan/selinayanganlan.github.io
selinayanganlan/Airbnb-Pricing-Prediction
Predicted the nightly prices of Airbnb listings by 5 supervised learning models.
selinayanganlan/Business-Analytics-using-SQL-Power-BI-and-Python
Identified the trends of orders, products and customers by generating complex SQL queries and visualizing data in Power BI for specific business questions. Optimized discount rate to increase sales using Python.
selinayanganlan/COVID-19-Time-Series-Cases-Prediction
Forecasted the daily confirmed cases of COVID-19 of a country given its historical daily confirmed cases by 6 predictive models.
selinayanganlan/Marketing-Analysis-and-Positioning-for-Telsa
selinayanganlan/Natural-Language-Processing-and-Modelling
Predicted whether the product of an online clothing retailer will be recommended based on customer reviews and other numerical product features.
selinayanganlan/NLP-Text-Summarization
Produced a summary for the definition of "Machine Learning" from Wikipedia using NLP techniques.
selinayanganlan/Profiling-and-Analyzing-Data-for-Yelp
Profiled the data and came up with inferences and analysis for predicting the overall star rating for the businesses in Yelp.
selinayanganlan/Recommender-Systems-for-IMDb
Developed 3 recommender systems for the movie provider IMDb.
selinayanganlan/selina
selinayanganlan/Supercars-Fans-on-Twitter
Investigated the contents of the live tweets of Supercars racing and examined the impact on online user engagement and TV rating.
selinayanganlan/Sydney-Swans-Fans-Love-and-Its-Impact
Provided recommendations on how to improve Sydney Swans' business performance by investigating their fans' love and its impact based on the data collected from a questionnaire and the results from 4 supervised learning models.
selinayanganlan/Web-Scraping-Amazon-Multi-Page
Automated web scraping of multi-page Amazon Best Sellers in Books into a dataframe.