Welcome to Chris's freelance profile!
This freelancer is available part-time (2 days per week) but hasn't confirmed their availability in over 7 days.
Part-time, 2 days per week
Location and workplace preferences
- Location
- London, England, United Kingdom
- Can work onsite in your office in
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- London and around (up to 50km)
Preferences
- Project length
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- ≤ 1 week
- ≤ 1 month
- Between 1-3 months
- Between 3-6 months
- Business sector
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- Architecture & Urban Planning
- Automobile
- Banking & Insurance
- Civic & Social Organizations
- Consulting & Audits
+19 other
- Company size
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- 1 person
- 2-10 people
- 11 - 49 people
- 50 - 249 people
- 250 - 999 people
+2 other
Verifications
Freelancer code of conduct signed
Read the Malt code of conduct
Reputation
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Languages
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English
Native or bilingual
Categories
Skills (20)
- BigData
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Beginner Intermediate Advanced
- Data Science
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
- All
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Beginner Intermediate Advanced
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Beginner Intermediate Advanced
Chris in a few words
- 10 + year using data science, engineering and analytics to solve real-world problems in tech, finance and academia
- PhD in Comuter Science, MSc in Data Science
- Experienced in developing and deploying deep learning models (e.g., feed forward neural networks, graph neural networks, forecasting models etc) on cloud computing architecture
- Skilled in working with big data, geospatial data, timeseries data, relational databases and more
- Highly skilled in Python (numpy, pandas, GeoPandas, PyTorch, tensorflow, networkx), SQL, GIS, GitHub, unix
I am a qualified and experienced data scientist / data engineer. I am technically minded, but also highly personable, easy to get along with and a good communicator. I am open and honest in my working relationship and show respect to others. I can work independently and apply common and commercial sense to the work I am carrying out.
- PhD in Comuter Science, MSc in Data Science
- Experienced in developing and deploying deep learning models (e.g., feed forward neural networks, graph neural networks, forecasting models etc) on cloud computing architecture
- Skilled in working with big data, geospatial data, timeseries data, relational databases and more
- Highly skilled in Python (numpy, pandas, GeoPandas, PyTorch, tensorflow, networkx), SQL, GIS, GitHub, unix
I am a qualified and experienced data scientist / data engineer. I am technically minded, but also highly personable, easy to get along with and a good communicator. I am open and honest in my working relationship and show respect to others. I can work independently and apply common and commercial sense to the work I am carrying out.
Experience
University of Warwick
Research
PHD Computer Science
- Developed deep learning models (e.g., feed forward neural networks, graph neural networks) using PyTorch which learn complex spatio-temporal patterns in cities.
- Worked in an agile way with data engineers at Transport for West Midlands to build a cloud-based (AWS) MLOps platform to perform real-time forecasting of road networks using state of the art graph neural networks.
- Built end-to-end data processing pipelines using Python and SQL which ingest vast and messy spatio-temporal datasets and efficiently generates feature vectors.
- Assisted in West Midlands pandemic planning to help optimally locate COVID-19 vaccinations centres for the region's most clinically vulnerable.
- Lead a development team to build a web based urban analytics tool which is in use by Transport for West Midlands. The tool was built using Python, SQL, vue, and the codebase released on GitHub.
- Enhanced state of the art graph neural networks with novel data types and demonstrated their improved performance against baselines.
- Collaborated with medical school to use the methods I had developed on their datasets to analyse how people access healthcare in low and middle income countries.
- Worked in an agile way with data engineers at Transport for West Midlands to build a cloud-based (AWS) MLOps platform to perform real-time forecasting of road networks using state of the art graph neural networks.
- Built end-to-end data processing pipelines using Python and SQL which ingest vast and messy spatio-temporal datasets and efficiently generates feature vectors.
- Assisted in West Midlands pandemic planning to help optimally locate COVID-19 vaccinations centres for the region's most clinically vulnerable.
- Lead a development team to build a web based urban analytics tool which is in use by Transport for West Midlands. The tool was built using Python, SQL, vue, and the codebase released on GitHub.
- Enhanced state of the art graph neural networks with novel data types and demonstrated their improved performance against baselines.
- Collaborated with medical school to use the methods I had developed on their datasets to analyse how people access healthcare in low and middle income countries.
BARCLAYCARD
Banking & Insurance
Customer Targeting Manager
Using SQL, SAS and Unix I was responsible for building data selection processes which drove multi-channel marketing and regulatory communications, ensuring the validity of A/B testing and providing reporting on commercial outcomes.
Major Achievements:
- Developed a targeting model in collaboration with commercial teams for a multi-channel marketing campaign in support of the launch of new product, which drove a 160\% increase in sales and 125\% increase in direct marketing response.
- Managed the transition to a new data platform for open market communications which represented significant cost savings to the business, without any negative impact on the rate and success of marketing activity.
- Automated several processes within the department, such as t-testing control segments, fraud detection tools and controls on marketing briefs.
- Managed a team of two people, ensured their development and quality of work.
Major Achievements:
- Developed a targeting model in collaboration with commercial teams for a multi-channel marketing campaign in support of the launch of new product, which drove a 160\% increase in sales and 125\% increase in direct marketing response.
- Managed the transition to a new data platform for open market communications which represented significant cost savings to the business, without any negative impact on the rate and success of marketing activity.
- Automated several processes within the department, such as t-testing control segments, fraud detection tools and controls on marketing briefs.
- Managed a team of two people, ensured their development and quality of work.
Flypay
Digital & IT
Internship in Software Design and Development
Developed new app features using Java for commercial-grade mobile apps.
AMERICAN EXPRESS
Banking & Insurance
Spend Analyst - As a freelancer
- Developed strategies to drive spend on American Express products, and analysed their effectiveness.
- Implemented statistical techniques on big data using SAS and SQL.
- Developed a full customer segmentation giving an overview of spend patterns across the customer base which assisted the launch of a new product.
- Implemented statistical techniques on big data using SAS and SQL.
- Developed a full customer segmentation giving an overview of spend patterns across the customer base which assisted the launch of a new product.
BARCLAYCARD
Banking & Insurance
Customer Targeting Manager
- Designing bespoke SAS and SQL programs to perform data selections as per marketing briefs.
- Using SAS and SQL daily to provide analysis on key value drivers for existing Barclaycard campaigns, and scoping for prospective campaigns.
- Advising marketing executives on issues ranging from data functionality and regulatory compliance, to commercial practicality.
- Management; set development goals, appraisals, ensuring quality of work.
- Developing best practice; including implementation of coding standards and guidelines on locking down BAU codes to un-validated changes. Key Achievements
- Achieving success in a short time during a six month secondment. Working with new data in a SAS role, a key deliverable was to design and deliver marketing reports on new business areas.
- Implementing the New Customer Engagement programme. A sophisticated 20 cell, multi-channel campaign. Included therein were regular reports to marketing executives.
- Managing a change of data supplier and selection tool for recruitment. This required close management to replicate historical reports and data selections, while continuing to deliver existing campaigns to hit tight recruitment targets.
- Using SAS and SQL daily to provide analysis on key value drivers for existing Barclaycard campaigns, and scoping for prospective campaigns.
- Advising marketing executives on issues ranging from data functionality and regulatory compliance, to commercial practicality.
- Management; set development goals, appraisals, ensuring quality of work.
- Developing best practice; including implementation of coding standards and guidelines on locking down BAU codes to un-validated changes. Key Achievements
- Achieving success in a short time during a six month secondment. Working with new data in a SAS role, a key deliverable was to design and deliver marketing reports on new business areas.
- Implementing the New Customer Engagement programme. A sophisticated 20 cell, multi-channel campaign. Included therein were regular reports to marketing executives.
- Managing a change of data supplier and selection tool for recruitment. This required close management to replicate historical reports and data selections, while continuing to deliver existing campaigns to hit tight recruitment targets.
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Education
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PhD
University of Warwick
In-progress PhD in Computer Science
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Master of Science
KING'S COLLEGE LONDON
2017 Master of Science - MS, Data Science
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Bachelor of Science
University of East Anglia
2009 Bachelor of Science (BSc), Accounting and Law