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Data Scientist with experience at top management consultancies
Tiff Gong
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
* 4 Years Data Scientist experience on Cross-Sector Projects with FTSE 100 clients
* Prior to that, 4 years of research experience on data related topics
* Easy to work with, willing to help out startups as well as big corporates
* Prior to that, 4 years of research experience on data related topics
* Easy to work with, willing to help out startups as well as big corporates
Markets
United Kingdom
Language
English
Fluently
Chinese (Mandarin)
Fluently
Ready for
Larger project
Ongoing relation / part-time
Full time contractor
Available
My experience
2019 - 2020
freelance
Data Scientist, Management Consultant
Accenture, London.
Tier 1 Tech Firm In charge of revenue optimisation for 8 products incl. ads
* Led daily SQL queries to retrieve and process information from 1000+ tables
* Owned the advanced analytics workstream: applied machine learning model for planning activities
* Owned the product performance workstream: liaised with board-level stakeholders to create effective performance dashboards for each product
* Periodic presentation to board level stakeholders
Tier 1 Manufacturing Firm Managed the Predictive Maintenance Workstream
* Led daily SQL queries to retrieve and process complicated information from client's manufacturing database
* Directly managed 3 resources, on-shore and off-shore, to develop the predictive maintenance model
Tier 1 Telco Pricing Analytics and Omnichannel Analytics
* Led the proposal and implementation of 4 propositions: 1) Optimised Device Discount; 2) Best Service Bundling; 3) Best Upsell Case; 4) Fraud Analytics
* Led daily SQL queries to retrieve desired information from 100+ tables stored on Amazon Redshift; descriptive analysis in SQL
* Analysed Google omnichannel data; created Qlik dashboards to advise the client on topics incl.: 1) Best advertising keywords to bid on; 2) Online marketing spend to offline store visit conversion; 3) Online marketing effectiveness across geographies
* Presented the result periodically to CIO of the organisation; the project led to an estimated saving of c.60 FTE in the U.K. practice, saving £2 million a year
* Led daily SQL queries to retrieve and process information from 1000+ tables
* Owned the advanced analytics workstream: applied machine learning model for planning activities
* Owned the product performance workstream: liaised with board-level stakeholders to create effective performance dashboards for each product
* Periodic presentation to board level stakeholders
Tier 1 Manufacturing Firm Managed the Predictive Maintenance Workstream
* Led daily SQL queries to retrieve and process complicated information from client's manufacturing database
* Directly managed 3 resources, on-shore and off-shore, to develop the predictive maintenance model
Tier 1 Telco Pricing Analytics and Omnichannel Analytics
* Led the proposal and implementation of 4 propositions: 1) Optimised Device Discount; 2) Best Service Bundling; 3) Best Upsell Case; 4) Fraud Analytics
* Led daily SQL queries to retrieve desired information from 100+ tables stored on Amazon Redshift; descriptive analysis in SQL
* Analysed Google omnichannel data; created Qlik dashboards to advise the client on topics incl.: 1) Best advertising keywords to bid on; 2) Online marketing spend to offline store visit conversion; 3) Online marketing effectiveness across geographies
* Presented the result periodically to CIO of the organisation; the project led to an estimated saving of c.60 FTE in the U.K. practice, saving £2 million a year
Implementation, LED, Online, Planning, Off-shore, Redshift, Google, Organization, CIO, Management Consultant, Omnichannel, Amazon, Advanced Analytics, Marketing, Service, ADS, Analytics, Management, Optimization, Database, C, Online marketing, Machine learning, Advertising, Sql
2016 - 2019
freelance
Data Scientist, Management Consultant
Deloitte Consulting.
Tier 1 Pharma Customer Segmentation with K-means
* Customer segmentation using K-means for 2 main products based on the defined growth drivers; Results visualised in Tableau, guiding product launch decisions
* Refactored the legacy AI tool in Python used by the team and achieved efficiency gain of 500x
Tier 1 Pharma AI-enabled Chatbot for R&D
* A content scraper and XML parser were built in Python to periodically scrape content from major research and medical information repositories using their APIs
* Developed a customised chat-bot with scraped and parsed content for Health Care Professional and Researchers to use
Tier 1 Real Estate Geo-Analytics on Stock Level and Repair Cost
* Assessed 20+ reporting processes via interviews and workshops with the head of regional offices
* Presented the result periodically to CIO of the organisation; the project lead to an estimated saving of c.60 FTE in the U.K. practice, saving £2 million a year
Public Sector Topic Modelling
* Scraped 1 million Tweet corpus in English and Arabic, which was used to generate word embedding with FastText and Word2Vec
* Conducted topic modelling using lda2vec (unsupervised)
Tier 1 Insurance Company RPA Opportunity Assessment
* Hosted client workshops to understand the as-is of 15 Level-3 Claim Handling processes
* Six key RPA solutions were identified, designed to collectively deliver savings of £417k a year in Household Claims department and £1.8m a year across UK Claims
* Customer segmentation using K-means for 2 main products based on the defined growth drivers; Results visualised in Tableau, guiding product launch decisions
* Refactored the legacy AI tool in Python used by the team and achieved efficiency gain of 500x
Tier 1 Pharma AI-enabled Chatbot for R&D
* A content scraper and XML parser were built in Python to periodically scrape content from major research and medical information repositories using their APIs
* Developed a customised chat-bot with scraped and parsed content for Health Care Professional and Researchers to use
Tier 1 Real Estate Geo-Analytics on Stock Level and Repair Cost
* Assessed 20+ reporting processes via interviews and workshops with the head of regional offices
* Presented the result periodically to CIO of the organisation; the project lead to an estimated saving of c.60 FTE in the U.K. practice, saving £2 million a year
Public Sector Topic Modelling
* Scraped 1 million Tweet corpus in English and Arabic, which was used to generate word embedding with FastText and Word2Vec
* Conducted topic modelling using lda2vec (unsupervised)
Tier 1 Insurance Company RPA Opportunity Assessment
* Hosted client workshops to understand the as-is of 15 Level-3 Claim Handling processes
* Six key RPA solutions were identified, designed to collectively deliver savings of £417k a year in Household Claims department and £1.8m a year across UK Claims
Growth, Processes, Chatbot, Organization, CIO, Assessment, Ai, Public sector, Insurance, Health, Management Consultant, Pharma, Python, Workshops, RPA, Content, Analytics, Management, Word, Tableau, C, R, XML, Research
My education
London School of Economics
MSc, Management (Minor in Accounting)
MSc, Management (Minor in Accounting)
Queen Mary University of London
BSc, Electronics Engineering
BSc, Electronics Engineering
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