Data Analysis & Machine Learning

At DP Financial, our data scientists are experienced in data analysis modelling, such as XgBoost Modelling, LSTM networks, Topic Modelling, Sentiment Scoring, Survival Analysis, etc., as well as machine learning. We are able to provide customized end to end solution for your projects.

1

Case Study: built a customer complaint analysis solution

Database Involved: provided by the client

Service Provided:

Summarised major themes in the complaints via Topic Modelling and Key Word Extraction. This allows the product owner to see trends in complaint topics and identify potential issues in the system and/or processes.
Compared customer complaints sentiment across different product via Sentiment Scoring to identify current problematic products.

2

Case Study: built a machine learning model to support the efficient marketing campaign

Database Involved: provided by the client

Service Provided:

Used machine learning models to identify customers at most risk of leaving and prioritise the ones to concentrate on trying to retain via highly targeted marketing campaign.
Used survival analysis to estimate the impact of each possible campaign features on customer life time.
Used survival analysis to estimate the impact of various promotion pricing level.

3

Case Study: built a time series predictive model for one of the big 4 banks

Database Involved: provided by the client

Service Provided:

Used machine learning model to forecast case volume of different kinds of customer complaints. This enables and supports the team management of the customer support consultant.
Comprehensive analysis around customer complaints for senior managing level to address the product remediation process based on massive numerical and NLP data.