WOMEN IN DATA 2018 AGENDA

Time
11am -12.45pm

Title
Introduction to R

Brief Overview
This will be a high level overview of the features and functionality of the R programming language
Aimed at: those with no previous knowledge of or experience with R
Non interactive workshop – no laptops required

Full Name: Dr Jelena Ilic

Dr Jelena Ilic is a senior data scientist at Mango Solutions. She received her PhD in Physics at the University of Warwick. After her seven years career as an experimental physicist, Jelena made a strategic move into the field of real-life data analysis. She currently resides in Oxfordshire with her husband and eight year old son. When she isn’t glued to the computer screen, she likes spending time fixing household items.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.

Time
11am -12.45pm

Title
Introduction to Python

Brief Overview
This will be a high level overview of the features and functionality of Python.
Aimed at: those with no previous knowledge of or experience with Python
Non interactive workshop – no laptops required

Full Name: Karina Marks

Karina Marks has been using Python for 5 years. She began her Data Science journey at Cardiff University and graduated with a Integrated Masters in Maths (MMath degree). After university she joined the Mango team and became one of their key Python experts. She has written the Introduction to Python for Analytics materials for Mango and loves sharing her knowledge with others.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.

Time
11am -12.45pm

Title
Introduction to Python

Brief Overview
This will be a high level overview of the features and functionality of Python.
Aimed at: those with no previous knowledge of or experience with Python
Non interactive workshop – no laptops required

Full Name: Karina Marks

Karina Marks has been using Python for 5 years. She began her Data Science journey at Cardiff University and graduated with a Integrated Masters in Maths (MMath degree). After university she joined the Mango team and became one of their key Python experts. She has written the Introduction to Python for Analytics materials for Mango and loves sharing her knowledge with others.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.

Time
1.45pm – 3.30pm

Title
Deep Learning in Keras

Brief Overview
If you don’t work for one of the big tech giants then deep learning may seem out of reach. Thankfully, recent developments have made the Keras Python package available to R users. This means we can now build our own deep networks, layer by layer, without the need to learn other tools.
In this workshop we will introduce the concept of deep learning, how we can use it and where we can get the most from it.
This session will be run using a cloud environment for attendees to access so there are no technical requirements. Attendees should be comfortable with using R and familiar with machine learning concepts.
Interactive Workshop: Participants will need to bring a (fully charged) laptop

Full Name: Aimee Gott

Aimée is a Senior Consultant at Mango Solutions. She has a PhD in Statistics from Lancaster University where she also completed her undergraduate and master’s degrees. As the Training Lead at Mango, Aimée oversees training course development across the data science pipeline and has delivered training all over the world to hundreds of people on all aspects of R. You’ll see her attend and speak regularly at R user groups and meetups around the UK and in her spare time, she enjoys learning European languages and documenting her travels through photography.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.

Time
11.45am – 12.45pm

Title
I Just Can’t Switch Off!

Brief Overview
Most of us know we need to relax more, but some of us find it very hard to actually do. Discover the key secrets you need to know to switch off from your busy life in this session with Mindfulness coach Mark Edwards

Full Name: Mark Edwards

Mark has a CV that uniquely qualifies him to help people develop ‘soft skills’ in a sometimes harsh business environment.

He has been a successful journalist (25 years with The Sunday Times), and also a successful pitch doctor (his storytelling and presenting skills have helped companies win over $5 billion of new business) .

In recent years he has focused on training, coaching and facilitating. Mark is a member of the Complementary Therapists Association, qualified to teach mindfulness, resilience and emotional wellbeing.

Although Mark teaches many “soft” skills, his wide experience in a hard-edged business environment means that all courses are specifically tailored to today’s busy, pressured work environment.

Mark’s recent clients include Renault, Intercontinental Hotels, The Economist, MediaCom, Krow, Bauer and Entura. He has also worked with senior executives from HSBC, Direct Line, Jaguar LandRover, Worldpay, Marks and Spencer, Standard Life, and the Home Office.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.

Time
2.15pm – 2.45pm

Title
I Just Can’t Switch Off!

Brief Overview
Most of us know we need to relax more, but some of us find it very hard to actually do. Discover the key secrets you need to know to switch off from your busy life in this session with Mindfulness coach Mark Edwards

Full Name: Mark Edwards

Mark has a CV that uniquely qualifies him to help people develop ‘soft skills’ in a sometimes harsh business environment.

He has been a successful journalist (25 years with The Sunday Times), and also a successful pitch doctor (his storytelling and presenting skills have helped companies win over $5 billion of new business) .

In recent years he has focused on training, coaching and facilitating. Mark is a member of the Complementary Therapists Association, qualified to teach mindfulness, resilience and emotional wellbeing.

Although Mark teaches many “soft” skills, his wide experience in a hard-edged business environment means that all courses are specifically tailored to today’s busy, pressured work environment.

Mark’s recent clients include Renault, Intercontinental Hotels, The Economist, MediaCom, Krow, Bauer and Entura. He has also worked with senior executives from HSBC, Direct Line, Jaguar LandRover, Worldpay, Marks and Spencer, Standard Life, and the Home Office.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.

Time
2.45pm – 3.30pm

Title
I Just Can’t Switch Off!

Brief Overview
Most of us know we need to relax more, but some of us find it very hard to actually do. Discover the key secrets you need to know to switch off from your busy life in this session with Mindfulness coach Mark Edwards

Full Name: Mark Edwards

Mark has a CV that uniquely qualifies him to help people develop ‘soft skills’ in a sometimes harsh business environment.

He has been a successful journalist (25 years with The Sunday Times), and also a successful pitch doctor (his storytelling and presenting skills have helped companies win over $5 billion of new business) .

In recent years he has focused on training, coaching and facilitating. Mark is a member of the Complementary Therapists Association, qualified to teach mindfulness, resilience and emotional wellbeing.

Although Mark teaches many “soft” skills, his wide experience in a hard-edged business environment means that all courses are specifically tailored to today’s busy, pressured work environment.

Mark’s recent clients include Renault, Intercontinental Hotels, The Economist, MediaCom, Krow, Bauer and Entura. He has also worked with senior executives from HSBC, Direct Line, Jaguar LandRover, Worldpay, Marks and Spencer, Standard Life, and the Home Office.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.

Time
1.45pm – 3.30pm

Title
Agile – a practical experience with JCURV

Brief Overview
If you’ve heard of ‘agile’ but not sure what it is or how it works, this session is a must. You will participate in a fun, interactive simulation which will leave you with a practical understanding of the process and ways of working that you can apply to deliver outcomes faster, more efficiently, more effectively whilst reducing risk

Full Name: Vikram Jain

Vikram is the Managing Director of JCURV, a consultancy with the sole focus of increasing the agility of the UK. Vikram and the JCURV team work with the FTSE 100 organisations, public bodies and charities, from the Board to frontline teams, to help them respond faster and more efficiently to the market. Previously, Vikram worked at Oliver Wyman, Lloyds Banking Group and Gemini consulting.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.

Time
1.45pm – 2.15pm

Title
Using AI to Solve the Human Problem of Bias

Brief Overview
While it seems that the stigma is deteriorating and we are talking more about mental health issues, we are now faced with the next challenge… what preventative measures can we take to solve this global human problem? Talking things out rather than ruminating mitigates the effects of loneliness, anxiety, stress and depression but do people actually talk about the things that really matter? Even with a solid support system, people feel like they don’t want to burden those around them or believe they have an image or reputation to uphold. In any interaction there are biases that define the willingness of people to talk, or the depth at which they want to talk, whether that be gender, sex, age, ethnicity, sexuality, or even things like background, experience or how long you may know someone. The important thing here is that these biases don’t matter…what matters is the mindset of the person you interact with. Using AI and machine learning, we focus on identifying these mindsets. We are revamping the quality of open and honest conversation by creating a new platform where we are anonymously able to identify mood, personality and preference of people. Using this information, we can then match them through a predictive compatibility matching algorithm to facilitate open and honest conversations due to stripping away the biases.

Full Name: Nick Bennet

Founder and CEO of Fika, Nick and the team are on a mission to mainstream emotional fitness through a new social network, product innovation, patent pending inventions, AI, machine learning, data science and a passionate, committed team. Nick is an expert in creative strategy, products and branding, with deep working knowledge of user experience, data, media and technology.
Nick has spent the last 7 years in start-ups, launching 3 successful consumer apps, 2 which were featured by Apple including an anonymous chat app that had fans raving over Twitter as ‘the best app ever built.’ He worked for 3 years at Starcount with teams of data scientists and product engineers to create a world class global data charting platform, audience profiling platform and a hyper targeting ad platform.
Before entering the start-up world, Nick helped build and run a digital agency as the creative and strategy partner at STEEL, playing a key role in developing the digital, tech and development offering. He was instrumental in maintaining it’s ranking for 7 years as an NMA top 100 digital agency, winning clients such as AOL, Xbox, Lastminute.com, Greggs, RBS, Talk Talk, MySpace, Travelocity, The UK Government and the NHS.

Full Name: Dr. Fran Longstaff

Fran has lectured in higher education for the past 13 years. Fran’s academic expertise is in sport and exercise psychology. She has completed both her MSc and PhD within this field and also holds a Certificate in Humanistic Integrative Counselling. Fran’s research interests are in athlete well-being and the characteristics of effective practitioner-client relationships.

In addition to teaching and undertaking research, Fran works extensively as an applied practitioner, providing psychological support to athletes, coaches and others working in high performance environments. Fran works with her clients to both support their well-being and ability to flourish. Fran frequently up-skills her clients in the art of talking and listening purposefully to enhance their resilience. She has applied this understanding to Fika.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.

Time
1.45pm – 2.15pm

Title
Using AI to Solve the Human Problem of Bias

Brief Overview
While it seems that the stigma is deteriorating and we are talking more about mental health issues, we are now faced with the next challenge… what preventative measures can we take to solve this global human problem? Talking things out rather than ruminating mitigates the effects of loneliness, anxiety, stress and depression but do people actually talk about the things that really matter? Even with a solid support system, people feel like they don’t want to burden those around them or believe they have an image or reputation to uphold. In any interaction there are biases that define the willingness of people to talk, or the depth at which they want to talk, whether that be gender, sex, age, ethnicity, sexuality, or even things like background, experience or how long you may know someone. The important thing here is that these biases don’t matter…what matters is the mindset of the person you interact with. Using AI and machine learning, we focus on identifying these mindsets. We are revamping the quality of open and honest conversation by creating a new platform where we are anonymously able to identify mood, personality and preference of people. Using this information, we can then match them through a predictive compatibility matching algorithm to facilitate open and honest conversations due to stripping away the biases.

Full Name: Nick Bennet

Founder and CEO of Fika, Nick and the team are on a mission to mainstream emotional fitness through a new social network, product innovation, patent pending inventions, AI, machine learning, data science and a passionate, committed team. Nick is an expert in creative strategy, products and branding, with deep working knowledge of user experience, data, media and technology.
Nick has spent the last 7 years in start-ups, launching 3 successful consumer apps, 2 which were featured by Apple including an anonymous chat app that had fans raving over Twitter as ‘the best app ever built.’ He worked for 3 years at Starcount with teams of data scientists and product engineers to create a world class global data charting platform, audience profiling platform and a hyper targeting ad platform.
Before entering the start-up world, Nick helped build and run a digital agency as the creative and strategy partner at STEEL, playing a key role in developing the digital, tech and development offering. He was instrumental in maintaining it’s ranking for 7 years as an NMA top 100 digital agency, winning clients such as AOL, Xbox, Lastminute.com, Greggs, RBS, Talk Talk, MySpace, Travelocity, The UK Government and the NHS.

Full Name: Dr. Fran Longstaff

Fran has lectured in higher education for the past 13 years. Fran’s academic expertise is in sport and exercise psychology. She has completed both her MSc and PhD within this field and also holds a Certificate in Humanistic Integrative Counselling. Fran’s research interests are in athlete well-being and the characteristics of effective practitioner-client relationships.

In addition to teaching and undertaking research, Fran works extensively as an applied practitioner, providing psychological support to athletes, coaches and others working in high performance environments. Fran works with her clients to both support their well-being and ability to flourish. Fran frequently up-skills her clients in the art of talking and listening purposefully to enhance their resilience. She has applied this understanding to Fika.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.

Time
1.45pm – 2.15pm

Title
Using AI to Solve the Human Problem of Bias

Brief Overview
While it seems that the stigma is deteriorating and we are talking more about mental health issues, we are now faced with the next challenge… what preventative measures can we take to solve this global human problem? Talking things out rather than ruminating mitigates the effects of loneliness, anxiety, stress and depression but do people actually talk about the things that really matter? Even with a solid support system, people feel like they don’t want to burden those around them or believe they have an image or reputation to uphold. In any interaction there are biases that define the willingness of people to talk, or the depth at which they want to talk, whether that be gender, sex, age, ethnicity, sexuality, or even things like background, experience or how long you may know someone. The important thing here is that these biases don’t matter…what matters is the mindset of the person you interact with. Using AI and machine learning, we focus on identifying these mindsets. We are revamping the quality of open and honest conversation by creating a new platform where we are anonymously able to identify mood, personality and preference of people. Using this information, we can then match them through a predictive compatibility matching algorithm to facilitate open and honest conversations due to stripping away the biases.

Full Name: Nick Bennet

Founder and CEO of Fika, Nick and the team are on a mission to mainstream emotional fitness through a new social network, product innovation, patent pending inventions, AI, machine learning, data science and a passionate, committed team. Nick is an expert in creative strategy, products and branding, with deep working knowledge of user experience, data, media and technology.
Nick has spent the last 7 years in start-ups, launching 3 successful consumer apps, 2 which were featured by Apple including an anonymous chat app that had fans raving over Twitter as ‘the best app ever built.’ He worked for 3 years at Starcount with teams of data scientists and product engineers to create a world class global data charting platform, audience profiling platform and a hyper targeting ad platform.
Before entering the start-up world, Nick helped build and run a digital agency as the creative and strategy partner at STEEL, playing a key role in developing the digital, tech and development offering. He was instrumental in maintaining it’s ranking for 7 years as an NMA top 100 digital agency, winning clients such as AOL, Xbox, Lastminute.com, Greggs, RBS, Talk Talk, MySpace, Travelocity, The UK Government and the NHS.

Full Name: Dr. Fran Longstaff

Fran has lectured in higher education for the past 13 years. Fran’s academic expertise is in sport and exercise psychology. She has completed both her MSc and PhD within this field and also holds a Certificate in Humanistic Integrative Counselling. Fran’s research interests are in athlete well-being and the characteristics of effective practitioner-client relationships.

In addition to teaching and undertaking research, Fran works extensively as an applied practitioner, providing psychological support to athletes, coaches and others working in high performance environments. Fran works with her clients to both support their well-being and ability to flourish. Fran frequently up-skills her clients in the art of talking and listening purposefully to enhance their resilience. She has applied this understanding to Fika.

Please note, you must be confirmed to attend Women in Data 2018 to register for these sessions. For any queries please contact emma.randall@datatech.org.uk.