22 November 2018
Presentation 1 - Marta Portugal & Vicky Byrom - Merkle|Aquila - Commercializing Analytics, Machine Learning and AI
Marta Portugal - https://www.linkedin.com/in/martaportugal
Vicky Byrom - https://www.linkedin.com/in/vicky-byrom-00270582
Vicky is the Head of Analytics at Merkle|Aquila. She has over 20 years experience in delivering analytics and actionable insights to large organisations. She is passionate about incorporating latest analytical developments into practical analytical solutions for our clients. As both a statistician and management accountant she bring a strong value focus to analysis – both customer value and marketing optimisation
Vicky’s aim is to take the complexity out of analytics. She is a firm believer that analytics should be delivered in the right language - not shrouded in complex jargon and latest buzz words.
Marta is a Senior Data Scientist at Merkle|Aquila. She has graduated with a MSc in Statistics and Operations Research and has since gained expertise in using statistical and ML techniques including image analysis (real time), predictive modelling, segmentation, neural networks and random forests in order to improve customer acquisition and retention. Marta devotes a lot of her time developing and mentoring junior data scientists within the organisation and has recently developed Merkle|Aquila’s Graduate Programme.
Presentation 2 - Dr Jasmina Lazić - Chief Data Technologist at Bayes Centre, University of Edinburgh - Strengths and weaknesses of different programming languages
With the ever-growing amounts of data we need to deal with, we are experiencing a growing demand for intelligent insights and data-driven strategies. We are also seeing more companies wanting to establish or further advance their data and data science functions.
But what is the right skillset for your data science team? If you need to get into hands-on coding, what languages should you learn? Or, if you are already and experienced programmer, do you need to add any more tools to your portfolio of skills? And even if you already have quite a few tricks (languages) up your sleeve, how do you decide what the best language is for the job at hand?
In this talk we will provide an overview of the top programming languages for Data Science, with their advantages and limitations.
Dr Jasmina Lazić leads, facilitates and enables the commercial adoption of state-of-the-art data science and technology developed at the University of Edinburgh, fostering new collaborative partnerships and technical engagements between the University and industry. Before joining the University of Edinburgh, Jasmina held a number of consultancy and advisory roles in the technology sector, designing, implementing and delivering technical solutions for commercial clients including blue-chip companies. She is also an advocate for high-quality mathematics education and women in technology.
6:30 PM – 7:00 PM: Networking
7:00 PM – 7:30 PM: Marta Portugal & Vicky Byrom - Merkle|Aquila
7.30 PM – 7.45 PM: Q & A Session
7:45 PM – 8:15 PM: Dr Jasmina Lazić - Chief Data Technologist at Bayes Centre, University of Edinburgh
8:15 PM – 8:30 PM: Q & A Session
8.30 PM - 9.00 PM: Networking and Drink