Experienced data consultant with strong analytical and visualisation skill
London, United Kingdom
Helped a retail company to develop various model to analyze relation between their promotional campaign and profit margin across all sales channels and applied A/B testing to achieve promotion reduction target with minimal impact on revenue and margin
Applied Geographic Information System (GIS) technique on helping a retail company to determine their sales strategy and segment the market
He implemented various text analytics technique including sentiment analysis, topic modelling and text visualization to transform unstructured information (client comments, product review) into structured data of opinions abut client’s services, products and brands that people expressed opinions about
Developed interactive interface using R shiny to visualize the result of the analysed customer relationship survey which allow clients to customized the report and do the simulation fitting their business need
Helped a financial institution to build a GARCH model which can manage their value-at-risk (VAR) for intra-day trading
Developed marketing mix model enriched with macro-economic factors to optimize the revenue generated by the budget spent on various promotion channels and calculate the effectiveness of each marketing campaign.
He has experience working with various companies like: HSBC, Three, Schroders, Lloyds Banking Group, Nice Satmetrix, Investec, Alvarez and Marsal and xAd etc.
Ongoing relation / part-time
• Organize and present the latest data science project and tools to other SBU (non-technical consultant) for pitching new projects
• Act as mentor for new joiners to provide one-on-one support to hone their talents and skills, and help them adapt to the company culture
• Key Projects include:
Calculated customer lifetime value by forecasting the retention rate, next purchase period & purchase value using different machine learning technique (including logistic regression, KNN & Random Forest Clustering, and OLS Regression) to identify valuable customers for an online retailer
Built a machine learning regression model to explain and forecast the sales of different channels across different markets using Python to develop effective promotional strategy which increased revenue by 17.3% for a retail client
Applied eclat association rule learning to identify customers’ market basket behaviour which helped a cosmetic retail company to improve their packaged sales promotion strategy with 2.3% increase in sales revenue
Detected potential fraud account for an online retailer by various NLP techniques (tf-idf and n-gram)
Established strategies to reduce discount rate to increase profit margin for a retail company and developed an automated report for monitoring the effectiveness of various campaigns which improved the EBITA by 62%
Developed stable matching model to solve the resources management problem of a car manufacturer using R to save around £1 million labour cost for contractor
Established predictive models to solve a wide range of business problems including online retail sales forecast, probability of payment in cash flow model and probability of default.
Applied sparkly with R to improve the efficiency on handling big data
Presented findings to clients with data visualization automatically generated by code
Developed an interactive interface using R shiny for presenting the situational analysis’ results on different model (e.g Cash Flow Model, Customer lifetime value model, Spatial analysis model)
MSc, Economic and Psychological Science
Bsc, Economics and Finance
Christopher did a great job. Quick, responsive and very knowledgeable about NPS analysis. Would definitely recommend and work with again
Contact Christopher Fong
Worksome removes the expensive intermediaries and gives you direct contact with relevant talents.
Create a login and get the opportunity to write to Christopher directly in Worksome.
31900+ qualified freelancers
are ready to help you
Tell us what you need help with
and get specific bids from skilled freelancers in Denmark