1. John Clarvis
Data Strategy
Director
Curriculum Vitae
July 2013

2. Opening letter
Dear Jacquie and Jamie,
This is my CV/portfolio. Since most of my work is
visual, or presented it made sense to present my CV
in this format. I have also provided a brief analysis of
We Are Social, to give you an impression of my work.
It is also available digitally here.
http://slidesha.re/183TWYd
I am very excited to have been invited to interview at
We Are Social and believe that a dedicated social
agency would be able to draw significant benefit
from my skills and experience
I have a firm belief that social and digital data has the
ability to transform the media industry for the
better, from the basics of simply knowing the facts, to
real time planning and agile strategy.
For the last 2 years at MEC I have endeavoured to
bring this vision to life by building new
products, speaking, presenting (internally and
externally) and most importantly demonstrating the
strategic and monetary value of data driven strategy.
Contents
Page 3-5: Key products
Page 6-7: WAS analytics
Page 8: Pitch Teams
Page 9: Awards and
Publications
Page 10: Skills
Page 11: Education
Pages 12-17: Work
Experience

3. Key products developed
2012-2013
Geo-social analysis:
Automatically plots the locations of
social media mentions, weighted
on sentiment, frequency or topic
Interest Graphs: Analyses social
text data to extract themes and topics.
Visualises the connections between
topics and the flow of conversation

4. Key products developed
2012-2013
Social TV Optimisation:
Identifies TV programs and
audiences with a social following.
Optimises budget by identifying
high reach, low cost programmes
for ad purchase
SoSearch: combines data
sources to provide new angles of
insight discovery. Used by DOH to
plan flu vaccine distribution and
advertising

5. Key products developed
2012-2013
Project Black : Social media crisis
detection, prediction and management tool.
Detects changes in the social sphere to alert
PR teams to potential crisis. Automatically
predicts hourly volumes and locations of
mentions. Provides topic mutation and trends
to allow for real time crisis management.

6. What does Social Media tell me
about WAS?
Key Clients
include:
Adidas
Redbull
Jaguar
WAS is a top
Digital Agency
In the last 12
months WAS has
capitalised on:
Mobile and Visual
Media including:
Instagram
Tumblr
Vine
Pinterest
Social media is
native at all levels of
the business
@RobinGrant
Co-founder & Global
Managing Director
Adidas
“Nitrocharge”
Redbull
“Taking Instagram to the
streets”
Jaguar
#yourturnbritain

7. Despite being an international agency – the large
majority of WAS mentions originate from across
the UK, particularly in East London

8. Pitch teams
Pitch Teams: 2012-2013

9. Awards
Awards and Publications
MEC: Thoroughly Deserving: Nominated 8 times in 2 years
MEC: Magnificent Manager: Nomination
MEC: Rising Talent: Highest Submission score
MRS: Best Research Innovation : Finalist
MRG: Best Research Innovation Award : Nomination
Warc publication AdMap on the importance of visualization
in big data analysis (http://bit.ly/15JFdUC)

10. Skills
Skills
Product Development
Lead role in the development of four key MEC analytical tools
Creative approach to problem solving and product development provided MEC with competitive edge in 2012-2013
pitch period
Quantitative analysis and reporting
Statistical Modeling – up to date knowledge and experience on modern statistical techniques and application to
digital and no traditional data sets
Social media and digital research
Development of new analysis techniques and metrics to provide valuable insights into social media and digital data
Development of social media/digital passive monitoring and analysis platforms
Managing, integrating and analyzing large multi-source data files into actionable insight driven reports
Data mining of data using text analysis and structural equation modeling
All major social monitoring tools, Sysomos, Radian6, Brandwatch, Quintly,.
Software Skills
Advanced usage of R-Statistics programing
HTML 5 and Javascript visualizations
Advanced knowledge and extensive experience of using SPSS
Python programming

11. Qualifications
Education
PhD (partially completed) Psychology. Keele University 2006-2008.
Funded wholly by ESRC research award.
MSc. Psychological Research Methods (Music
Psychology). Keele University. 2005-2006 Grade: Pass
BSc. (Hons) Psychology. Hull University. Grade: 2.1. Assessed via
examinations, Coursework and completion of an independent research
dissertation.

12. Work
Experience
Data Strategy Director : August 2013-present
Data Visualisation Consultant: October 2012:July 2013
Social Media Manger : October 2011- October 2012

13. Interest graph
Data Strategy Director: July
2013- present
• Lead on new product development
• Developing POC analytics technology
• Managing product development and developer teams
• Communicating new product development to management board and
prospective clients
• Developing new products in collaboration with teams across
MEC, TV, Press, Social and Digital
• Key member of New Business team for all pitches, recently including Coca
Cola, EDF and Direct Line Group
• Internal and external PR/public speaking on technology, analytics and media

14. Interest graph
Data Visualisation Consultant:
October 2012 – July 2013
• Product development lead on three key strategy projects
• Search and Social based predictive real time planning across all clients
• Weather based sales predictor for B&Q
• TV buying optimization tools based on real time trends and data
• Working closely with strategy team in building informed, data driven
strategies
• Published article in Warc publication AdMap on the importance of
visualization in big data analysis (http://bit.ly/15JFdUC)
• Working on pitch teams for Chanel, Kingfisher Group and Danone
• Internal and external role in leading and inspiring the spread and
democratization of data as a strategic and planning tool
• Leading team to proactively win internal and external business

15. Interest graph
Social Media Manager: October 2011-
October 2012
• Product lead on MEC’s Interest Graph and Geo-Social products. From initial
idea, technical spec, build, internal and external sales.As a result contributed to
pitch wins of SAB Miller, Mulberry, J&J and Butlins
• Developed Geo-Social product, a tool which visualizes social data
geographically at macro and micro levels of detail
• Work nominated for Media Research Group Award and Market ResearchAwards
for “Next Generation Social Insight”
• Built predictive models of Olympic sponsorship ROI, which predicted social
mentions to within 90% accuracy
• Development of social media metrics derived from big data.
• Wrote and presented paper on the development of a Social Net Promoter Score
to researchers from the ICG and MRS
• Handled all data and quantitative analysis requirements for MEC’s social media
team. Streamlined reporting process in preparation of scaling up reporting to
meet client demands
• Using R statistics reduced reporting time from 3 hours to 10 minutes .

16. Interest graph
GFK NOP – Business and Technology
Digital Analytics Consultant (contract) –
March-October 2011
• Developed process, analysis and oversaw operations on international
flagship Google project combining offline purchase data and online
behavioral data. Project optimized Google’s Ad placement and strategy for
FMCG category advertising.
• Used expertise to develop GFK’s digital analysis procedures as a centre of
excellence to be rolled out across the entire company.
• Developed method logy for analysis of customer journeys by integrating
clickstream and questionnaire data. Analysis yielded segmented customer
journeys to optimize Vodafone’s online marketing and ad placement.
Worked closely with graphic designer to present complex data as
infographics
• Contributed insights from data mining to provide key marketing materials
to GFK’s flagship digital project, “Connected Life”. http://bit.ly/qkKcfi

17. Interest graph
Blauw Research:
Social Media Analyst/Research Exec: March
2008 – March 2011
• 2008-2010 - Independently one of the first automated social media analysis
tools, "Twitter Insights" which automatically collected and sorted
brand/company/thematic conversations. Analysis included . K-means
clustering and factor analysis.
• Developed statistical models of customer satisfaction for BMI. Model allows
for targeted improvements in service levels to improve overall satisfaction
and recommendation. Also builds predictive models and analysis on
proposed strategies and courses of action. Calculates cost/benefit in terms of
customer satisfaction, recommendation revenue and return on investment.
• Nov 2009 - Presented paper, "No more Questions! The Heisenberg
uncertainty principle and Social Media" at Measurement Camp. This paper
explored concepts from physics, such as Observer Effects and uncertainty in
the context of measuring social media and large scale quantitative studies.