ˑMark Farragher, Cstat Email and Phone Number
ˑMark Farragher, Cstat personal email
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ˑMark Farragher, Cstat phone numbers
👋 I am a data science & analytics leader with interests in experimentation, product growth & driving commercial impact.💼 Applied expertise in areas such as: causal inference & experimentation; digital marketing; economics & econometrics; healthcare (e.g. genomics)🎓 Education: quantitative programmes in Health Data Science (Cambridge) and Economics (LSE)I have expertise in building the analytics capability at companies, including start-ups and consultancies, with a mind for driving product development and building robust software solutions. I am a Chartered Statistician (CStat) who has thorough experience with statistical modelling & machine learning in industry. I maintain two popular Python libraries and have been a public speaker at conferences such as PyData and PyCon.Currently I am building the Digital Analytics capability at Utility Warehouse (UW) ⚡📱🌐📜, which presents product growth initiatives like no other company for these reasons:- Unique business model: UW's customer growth is driven through network marketing and word-of-mouth marketing (through its Partner network and customer referral schemes). It spent over 20 years as a public company without any direct-to-consumer advertising and is now using digital data to drive its growth further and quantify the impact of growth channels with respect to metrics like CLTV and CPA.- Compelling USP: UW is the UK's only multi-service utility provider, enabling consumers to save money on their bills by bundling together utilities like energy, broadband & mobile. Each utility offered by UW has dozens of user journeys to analyse and through digital analytics we can personalise the customer experience (CX) & identify opportunities to cross-sell services to customers.My experience with technologies includes:- 📜 Languages: Python, SQL, R- ☁ Cloud infrastructure and data architecture: Google Cloud, AWS, Snowplow, Hightouch- 📊 Analytics: Looker, Tableau, Mixpanel- ⛓ ETL to build data in various formats, e.g. Apache Parquet- ⛓ Version control: e.g. Git, Dataform, dbt- 🖥 Data science development on all three main OS: Linux, Windows & MacI have a background in quantitative economics, consulting & data analytics. I tackle projects from multiple perspectives, enabled by the breadth of my experience: I've worked on projects for the public, private & third sectors; experience of traditional education & alternative education; experience of full-time employment & contracting.CONNECT with me if you share similar interests.
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Analytics Engineering Lead (Digital Analytics)Utility Warehouse Sep 2022 - PresentLondon, GbI am building UW's new analytics capability since 2022 relating to digital data & touchpoints - in particular, data on the user journeys from over 1 million customers who use the UW app and website. In my role I am working with stakeholders across Product, Marketing, Engineering, UX and Data. I am the main evangelist for improving product analytics and event tracking at UW, building a centre of excellence model to support product teams with those areas.Some of the activities in my role include:- Working with dozens of product teams on improving their event tracking, to enable richer user journey analytics and greater product experimentation- Developing data products to enable 360° views of both the customer lifecycle and partner lifecycle (e.g. data models, Looker dashboards & explores, etc.)- Commercial ownership of specific tools in UW's event data architecture (e.g. Snowplow, Mixpanel)- People leadership of the Digital Analytics team, including line management and hiring- Technical leadership of UW's event data architecture (suitable for over 100 million analytical events tracked per month by product teams)- Developing a multi-year Data Strategy and vision with the other Senior Data Leads and developing a cross-domain Digital Analytics roadmapUW has a unique business model for a public company, with its customer growth largely driven by word-of-mouth channels like network marketing (the UW Partner network) and customer referral programmes. Through UW's work in Digital Analytics, we are developing richer behavioural data on our customers, web visitors and Partners. UW's customer journeys are becoming more digitalised to enable a more seamless customer experience, while all our customer acquisition channels also are getting more digitalised to quantify their performance with respect to revenue & cost metrics (e.g. CLTV, CPA).Main tools: BigQuery, Dataform, Mixpanel, Looker
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Organisational Performance OfficerGenomics England Jan 2021 - Sep 2021London, GbI worked within the Transformation Directorate at Genomics England (GEL) to bolster how the company and its teams track performance metrics. I built an end-to-end analytics product that surfaces analytics such as:- How impactful our research is- How we are scaling up our genomic medicine services nationally & regionally- SaaS product analytics on our Research Environments' usage- How we are performing against SLAsThese data analytics are delivering value within GEL and also for our stakeholders & partners in central government, e.g. NHS England and the Department of Health. I am working with government partners to co-develop dashboards.I worked with multiple teams (e.g. in Tech, Research, People, Comms) to bring together various data sources and automate various steps with Python to build this curated data product. In the long term the vision is to empower people across GEL to have more self-serve data analytics.Tech stack: AWS & Redshift; Python; Tableau -
Data ScientistAkeso & Company Jun 2020 - Dec 2020London, England, GbFull-time contract project during the covid-19 pandemic, which was extended on a rolling basis.Developing scalable analytics tools on a healthcare data project for a boutique healthcare consultancy’s analytics team & their public sector client. Working in a small team of data scientists (management consultants) and leading on the software engineering tasks of the project:• Moved Python code away from notebooks, with some refactoring, into a more robust system: I am introducing best practice in software engineering, e.g. logging, unit testing, modularisation of code.• Developed ETL pipelines with Parquet files & analytics tools to reduce the team’s time spent on ad-hoc requests, with long-term view of making the analytics more self-serve for the client.• Automated the generation & sending of data outputs.• Improved the speed of tools by >+100% by vectorising functions and refactoring, in order to help our tools scale better and ahead of handover.• Supported onboarding and skill development of new junior data scientists, especially on software engineering applied to data science products.Tech stack: Python; Apache Arrow & Parquet -
Data ScientistSelf-Employed Apr 2020 - Dec 2020Working on a healthcare data project for boutique healthcare consultancy.I have specialisms in these areas:- Data science & analytics- Quant & qual research / consultingI have Estonia e-residency so I can offer digital services in the EU.Since April:► Joined Toptal platform - top 3% of freelance talent for data science► Became data mentor at MentorCruise: currently mentoring on Python and data science
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Data ScientistTriptease Jul 2019 - Mar 2020London, England, Gb⚗ Specialist in A/B testing, stats modelling and causal inference. I've worked across a few squads to help develop data-driven product features. I developed a new product at the time in 2019 to improve hoteliers' returns from their online ad presence through machine learning.🏨 We're using all of our data science know-how to develop exciting products for hoteliers!💸 Find out more about how we're giving our hoteliers an 'unfair advantage' through our newest data product at https://triptease.com/en/guest-acquisition/🚀 Other work at Triptease:► Working within a committee to organise Triptease's first public Product & Engineering event, via the London Travel Tech meetup.► Acting as a sponsor to support an engineer's career development.🌟 Key achievements to date:★ Delivered a talk at PyData London 2019 on the applications of causal inference to the hotel industry.★ Authored a white paper on the largest ever A/B test of on-site messaging on hotel websites.★ Built tools in conjunction with engineers and analysts to assist the management of advertising spend for hotels.★ Outside of work, in 2019 I released my first open-source package on PyPI: appelpy (applied econometrics library for Python). -
Associate Data ScientistTriptease Nov 2018 - Jun 2019London, England, Gb🏨 We're using all of our data science know-how to develop exciting products for hoteliers!💸 Find out more about how we're giving our hoteliers an 'unfair advantage' through our newest data product at https://triptease.com/en/guest-acquisition/
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Data AnalystTriptease Jan 2018 - Nov 2018London, England, Gb🚀 Summary of key responsibilities:► Hypothesis testing on Triptease products, in particular through A/B tests on Strategic Accounts, but also through deep dive analysis and other statistical testing. Reporting on test results to hotel clients and internal audiences. ► Ongoing development of Triptease's business intelligence tool (Looker), to support various users across the company (e.g. Customer Success, product squads).🌟 Key achievements to date:★ Entered an incipient data team and developed cross-team relationships on analytics projects, with people across the company including: product managers, CS managers, CS technical leads, embedded analysts, product developers, data engineers and senior management. These cross-team partnerships have improved A/B testing processes and hypothesis testing for product analytics.★ Contributed to halving the cost of our daily BigQuery bill in March by deploying changes that encouraged caching of queries and reduction of bugs, in collaboration with data engineers.★ Enhanced the A/B testing dashboards so that key test metrics are easier to monitor, e.g. 'running' significance levels for conversion rate uplift over a time series, traffic splitting, statistical power.★ Led the development of product analytics at new levels of segmentation: e.g. business vs leisure segments based on booking behaviour.🕵 Data stack:• Looker and Google BigQuery [for business intelligence]: advanced LookML developer and administrator; experienced SQL user; deployment of changes to our BI platform through Github.• Python and R, via Jupyter notebooks [for data cleaning, exploratory analysis, deep dive analysis and advanced statistical modelling]Other tools:• Zapier and Slack integration to automate tasks.
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Data Analyst And ConsultantSelf-Employed May 2017 - Jan 2018💼 Freelance professional with experience in research and data analytics.🚀 PROJECTS IN 2017:♦ Data analyst for TRIPTEASE – A/B testing to support product development.♦ Desk researcher for SUSAN JACKSON ASSOCIATES – international education consulting (support the start-up of new universities). *****Following full-time learning on data analytics (MOOCs and other courses), I launched my own website in September to showcase my data analytics projects: Ex Machina Data (exmachinadata.com). I have written about my 'curriculum' on my website and hope this inspires other data enthusiasts.Major projects include:• Machine learning models on UK house prices (multiple data joins bringing together datasets e.g. Land Registry in my own data pipeline – SQL and scikit-learn)• UK phone number parser from clipboard input• London Tube network analysis• Music library analytics and utilities (e.g. clustering of songs for playlists; batch programs)• Modelling of age dynamicsLearning new Python libraries as I go along for projects (e.g. networkx).My website focuses on communicating data and does not dwell on large chunks of code. I hope to post my Jupyter notebooks on Github in the near future.
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ConsultantPacec Jun 2015 - Apr 2017💼 Consultant from July 2015 at economic consultancy PACEC (Public & Corporate Economic Consultants), after brief internship during June 2015. My roles concentrated on data analysis (incl. Tableau, Excel and survey software), extensive literature & evidence reviews, report writing, stakeholder interviews and proposal writing / business development. I successfully achieved over £60k in new business in 2016 (beyond my target) and made significant contribution to projects worth over £130k.🚀 Experience on projects includes evaluation work on DFID's IFUSE programme, the UK's Newton Fund, the knowledge exchange strategies of 97 English HEIs, ESRC investment in big data infrastructure, housing association investment in Wales, Big Lottery Fund support contracts, regional innovation ecosystems.Undertaken projects in the following areas:• Economic evaluation• Economic appraisal• Value for money analysis🕵 Sectors of expertise: higher education / innovation; regional economic development.
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Lse Student AmbassadorThe London School Of Economics And Political Science (Lse) Nov 2012 - Jun 2015London, Gb🙌 This voluntary position in the Widening Participation division gives me a public role in representing the LSE to prospective students of different ages and in various ad-hoc settings. I have worked closely with the student recruitment staff and my student colleagues at events such as Open Days, school visits, Student Shadowing, and university awareness schemes for primary and secondary school students of a low socioeconomic status.🌟 Main achievements:★ Being a greeter of prospective students at the Graduate Open Day, tasked with socialising and representing the university and its offerings to students. I did this within my first few weeks at university and have had other public-facing roles at other Open Days, such as registering hundreds of guests before a presentation.★ Visited my former school twice to present about the LSE's opportunities to groups of sixth-form students.★ Shadowed by a group of sixth-form students to show them a typical day for a student (for their subject area of interest), with discussion about application advice and about questions they had.★ Managed small groups of children and secondary school students in activity days to inspire them to consider higher education. I communicated with them on their given tasks and arranged some of the activities for my cohorts. Activities include asking questions to a student panel and brainstorming about university / changes through life.★ Gave campus tours to groups of domestic and international guests, including students and school staff.
ˑMark Farragher, Cstat Skills
ˑMark Farragher, Cstat Education Details
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University Of CambridgePopulation Health Sciences (Health Data Science) -
The London School Of Economics And Political Science (Lse)Economics
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Cambridge SparkApplied Data Science
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Mill Hill County High SchoolGcses And A-Levels
Frequently Asked Questions about ˑMark Farragher, Cstat
What company does ˑMark Farragher, Cstat work for?
ˑMark Farragher, Cstat works for Utility Warehouse
What is ˑMark Farragher, Cstat's role at the current company?
ˑMark Farragher, Cstat's current role is 🟣⚡ Analytics Manager, data leader & professional.
What is ˑMark Farragher, Cstat's email address?
ˑMark Farragher, Cstat's email address is fa****@****ail.com
What is ˑMark Farragher, Cstat's direct phone number?
ˑMark Farragher, Cstat's direct phone number is +4478873*****
What schools did ˑMark Farragher, Cstat attend?
ˑMark Farragher, Cstat attended University Of Cambridge, The London School Of Economics And Political Science (Lse), Cambridge Spark, Mill Hill County High School.
What skills is ˑMark Farragher, Cstat known for?
ˑMark Farragher, Cstat has skills like Leadership, Collaborative Problem Solving, Consulting, Git, Amazon Web Services, Public Speaking, Data Science, Economics, Quantitative Data, Policy Analysis, Literature Reviews, Causal Inference.
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