“Achieve gender equality and empower all women and girls.”
This is the 5th UN Sustainable Development Goal concerning gender equality, established in 2015. The goal is to end discrimination against all women and girls globally by 2030. We are eight years away from this date, yet we are still nowhere near accomplishing gender equality.
Gender parity is not just desired but also critical for a company focused on data engineering and data science like Advancing Analytics. Data Engineering ensures that the pipelines are designed and built to collect, store, and transform data at scale, so it is usable for data scientists. Data science is then used to extract valuable information from data. There is inherent bias when it comes to working with data right from data collection through to data analysis. It is widely known that the one way to eliminate bias in the data industry is not only to broaden the diversity of data sets, but also to look at the diversity across teams to ensure a varied team of data professionals. Sadly, despite this well-known fact, the figures and statistics show that women are still underrepresented, and the data sector lags behind the rest of the job market when hiring a diverse team of data professionals.
Expertise: Data Science, Artificial Intelligence and Machine Learning
I am a principal data scientist with Advancing Analytics. I am also a mother, a wife, a mentor, and addicted to learning new things. I have a Ph.D. from the University of Sheffield, where I studied experimental and computational fluid dynamics.
Before joining Advancing Analytics, I was a researcher for Rolls-Royce University Technology Centre (UTC) in the field of Combustion Aerodynamics. I also worked in Vehicle Analytics at Jaguar Land Rover and as a Data Scientist consultant for several companies including Infosys. I have worked on a variety of projects across varying industries and enjoys leveraging data and analytics to solve business problems. At Advancing Analytics, I work with a team of data and machine learning experts that are passionate about being the best data and AI professionals.
Apart from work, I love spending time with my family by being outdoors, travelling, and enjoy fulfilling my STEM role whilst learning new ideas by getting involved in data science competitions.
Expertise: I’m a veteran software & data engineer and a Microsoft Data Platform MVP, with over 16 years of experience. I have tackled projects from real-time analytics with Scala & Kafka, building out Data Lakes with spark and applying engineering to Data Science.
Education: BSC Multimedia Computing and Business
My journey into data has been unconventional. I started off wanting to be a photographer, and thus working in a photography lab whist studying Media & Art. However, off the back of my media course I soon discovered I enjoyed coding and set of down a path to become a Website Developer. This was in the early 2000’s when website development was still very new and a “hot” career to get into. In deciding to become a Website Developer, I chose to leave my creative side behind and enrol onto a Computing and Business degree which I loved. I got to learn lots of aspects of computer programming, and fundamentally, data storage and processing. Learning about data storage and processing was another game changer for me and remained a passion alongside coding.
When graduating I immediately started working as an Application Developer (writing code) and remained in similar roles for over 10 years. In this time, I moved from Application Developer to Backend Developer to Software Engineer; all the while keeping my passion for data alight, working with data when and where possible, and eventually transitioning into becoming a fully-fledged a Data Engineer. All these roles required similar skill sets but focused on different areas and specialities so it was a natural progression
I now work as a Data Engineering Consultant, helping empower clients to achieve their data goals. My currently employer are great, but as a woman in tech I have faced some challenges. In particular around unconscious bias, which is hard to tackle as the perpetrators are not necessarily aware of what they are doing. When taking time out for maternity leave it was very daunting to come back into the industry. I felt my skills had already become out of date. I would love for more tech employers to openly tackle issues such as this. We need to keep female talent in the industry and not turn a blind eye when they quietly disappear. My current employer always listens to my concerns and is interested in my experiences, determined not to make the same mistakes. This is really reassuring and empowering, making them a great place to work.
I am involved in various Diversity & Inclusion movements, including Women’s tech Hub Bristol, and I also help to organise and run local code clubs for children. I plan to continue this work as much as possible, doing my bit to break down walls for those in minorities.
Expertise: Finance, Legal, Operations, Compliance
Education: MAAT, AATQB, LLB (Hons) Law Student (due to complete in July 2026)
After moving to Devon in 2006 to start a new life in the South West, I became interested in Accountancy and the world of finance. I started training with the AAT as an apprentice whilst working as an accounts clerk. Over the years, I moved up through the AAT levels and through the business hierarchy becoming Financial Controller.
After completing the AAT, my sights became set on management accounts and how a business runs. One of the things I always loved is that you can look at financial statements and glean so much information about how a business is run, without asking any questions. I started my own business during the pandemic offering finance management to many of my clients, then finally one of my clients became my home, so I moved back into the world of employment.
My role allows me to get involved in the organisational development on the business side and to utilise my newly obtained legal skills as I work through my Law degree. I’m driven by processes and efficiency, ensuring businesses are compliant in all areas. I enjoy creating, adapting, and documenting business processes and ensuring that we have contingency, not only financially, but operationally too.
Expertise: Data Science and MLOps
Education: BSc Forensic Computing and Cybersecurity
I am a Senior Data Science Consultant with Advancing Analytics, where most of my time is spent working with clients to get data science models into production and create robust MlOps workflows.
Before joining Advancing Analytics, I studied Forensic Computing and Cybersecurity at Portsmouth University during which I completed a couple of internships with the Hampshire Constabulary High Tech Crime Unit and Ernst and Young’s eDiscovery team. It was at EY that I fell in love with data analytics and eventually data science, so when I graduated, I immediately became a data consultant for a data analytics consultancy. A year later I found myself working with the team at Advancing Analytics where I have been for over 2 years now.
Outside of my project work, I love to write about data science related topics on my blog, I am a co-presenter of the AI podcast Totally Skewed and I run an initiative called GirlsCodeToo UK where I visit schools to teach students about all the fun opportunities in tech and get them hands on with coding. For fun, I love to spend time with my pets, read and look after my (maybe too many) houseplants.
Expertise: Data Engineering, Cloud Network Security, Azure Architect, Python Developer
Education: Masters Degree in Mathematics
I’m a Data Engineer, an Azure Architect, or a Python Developer – depending on which day it is! I work as a consultant for Advancing Analytics and I’m based in Leeds. My academic background is in Mathematics. I love all things tech, but my main passions are cloud, data, and coding. I have five years of experience working in the data and analytics space and four years of cloud projects under my belt. My cloud of choice is Microsoft Azure, and I am a Microsoft Certified Azure Developer. My favourite programming language is Python, but I also enjoy SQL and a bit of C#. My specialism is in Cloud Network Security and I love everything to do with VNets!
Outside of work, I am the co-founder of the non-profit DevUp Volunteering, which aims to remove barriers to technology for people and organisations. We typically bring skilled volunteers together to work on data and tech-related projects for charities and non-profits and aim to help their beneficiaries in the process.
I’ve worked for IT & data consultancies for over 15 years now, but specifically as a People Manager since 2016. I’ve been very fortunate to work for companies that have always put their people at the heart of what they do, which has made for a very satisfying career for me so far. I thrive on supporting and helping people through challenges and love an opportunity to get HR processes up and running too.
Since I joined Advancing Analytics back in 2021, I have been proud to be part of a company that not only supports women, but advocates for them. As a part time working mum, I feel incredibly lucky to work for a company that stands by its commitment to a flexible, inclusive, and supportive working environment for everyone.
The future of the data landscape is exciting!
We all know that data is exploding in an unprecedented way. In fact, by 2025, it’s estimated that 463 exabytes (one exabyte is equal to 1,000 Petabytes or one billion gigabytes) of data will be created each day worldwide. That’s the equivalent of generating 212,765,957 DVDs per day!*
When you consider technology such as autonomous vehicles, IoT devices and sensors, it is clear that the expected volume of data will be massive. Having all this data is pointless without analysis and insight! To create business insights and value from all this data, we need Machine Learning. As Machine Learning becomes more and more sophisticated, it is expected to play a huge role in data over the next 5 years.
The other trend that we see evolving is the adoption of the fast-evolving and distributed IT capability that IoT edge computing offers. IoT edge is when data is analysed on devices (at the edge of the network) rather than in the cloud itself, which overcomes latency and bandwidth issues associated with the cloud model.
The data landscape will evolve, and we are looking forward to helping businesses embrace this change.
*Published in “How much data is generated each day?” By the World Economic Forum
Advancing Analytics is a consulting firm specialising in data engineering and data science. As a Microsoft Gold Partner and an award-winning Databricks Partner, we are specialists in enabling some of the world’s top companies to become data-driven businesses.
If there is one thing that distinguishes us, it is our company ethics and principles, which we all take pride in. Our “Come as you are” company goal demonstrates a culture that values diversity and inclusivity. We welcome graduates and actively promote women throughout the industry including women who are returning to the workplace. The business promotes a culture of community and sharing knowledge through our participation and sponsorship of events and via our YouTube channel, where we can all level up together!