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Senior
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3
jobs
Experienced data consultant with strong analytical and visualisation skill
Christopher Fong
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
Christopher Fong is an experienced data consultant with more than 10 years of experience in “big data” analysis and visualization, financial modeling, dash boarding and management reporting.
Major Engagements/Clients:
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.
Major Engagements/Clients:
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.
Markets
United States
(Remote
only)
Canada
(Remote
only)
United Kingdom
Lithuania
(Remote
only)
Rest of Euro area
(Remote
only)
Denmark
(Remote
only)
Norway
(Remote
only)
Sweden
(Remote
only)
Finland
(Remote
only)
Industries
Language
English
Fluently
Chinese (Mandarin)
Fluently
Ready for
Available
My experience
2022 - 2023
job
Data Science Manager
Funding Circle.
Data Science, Science, Manager
2021 - 2022
freelance
Senior Data Scientist
UK Health Security Agency.
Data Modeling, Python, Data Science, Machine learning, DATA ANALYSIS AND VISUALIZATION, Big Data, AWS, R, Sql
2018 - 2021
job
Data Science Manager
Alvarez and Marsal.
• Lead the data analytic project team to develop scope of work, solve client business problems and manage the team to ensure quality delivery
• 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)
• 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)
Machine learning, Python, Data Analysis, Data Science, R, Sql, DATA ANALYSIS AND VISUALIZATION, Data mining, Business Intelligence, Project Management, Management consultancy, SQL Databases, Big Data
My education
2010
-
2011
University of Warwick
MSc, Economic and Psychological Science
MSc, Economic and Psychological Science
2005
-
2008
The Hong Kong University of Science and Technology
Bsc, Economics and Finance
Bsc, Economics and Finance
Christopher's reviews
Data analyst for project lasting a few weeks. Processing and analysing customer survey data. - Start soon
4 years ago
Christopher did a great job. Quick, responsive and very knowledgeable about NPS analysis. Would definitely recommend and work with again
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