- Implement new, innovative analytics products across the company’s various verticals- Lead a three-person team, responsible for day-to-day management and project road mapping- Creation of a multiple linear regression and Bayesian recursion based forecasting model, implemented across the business- Development of a bespoke forecasting product, allowing for scenario planning and war gaming- Partnered with a third-party agency to produce a conjoined analytics tool leveraging the power of NLP- Build of data pipelines and workflows using Data Factory and the wider Microsoft Azure technology platform- Construct end-to-end data management procedures in SQL, connected to the wider developed tools and capabilities- Production of UX dashboards through Power BI, tailored to specific client needs and tool requirements- Creation of marketing materials through website and social media channels for business development purposes- Delivery of webinars to key customers and business stakeholders- Planning and teaching of the Analyst Academy, training new employees in analytics and coding capabilities

- Lead the commercial and strategic direction of the central data function- Inception of initiatives and creation of roadmaps to deliver the strategic objectives for the wider business - Planning budget and resourcing to deliver commercial objectives- Management of a six-person team within the AS Analytics business unit- Scoping, building and pitching projects to prospective clients- Overall responsibility for the maintenance and quality of databases and datasets used across the group- Design and inception of advanced data science models to drive business revenues- Third-party supplier procurement, contract and commercial management- Generation of client-facing insight decks from disparate data and research sources- Utilization of Power BI to create powerful visualisations and dashboards- Management of data flows and integration with software- Frequent delivery of insight through workshop and webinar sessions- Successful consolidation of all data solutions and processes into a standardized marketing and commercial framework

- Responsibility for all bespoke packaging projects- Drive commercial and research strategy for the packaging division with a £1m consulting portfolio- Report directly in to the CEO and C-level executives with commercial progress and initiatives- Pitch new business to prospective clients, assessing requirements and scoping projects- Oversee, manage and execute bespoke packaging projects- Deliver numerous pitches and conference presentations to executive level audiences- Maintain responsibility for the forecasting and data science operation across all verticals within the business- Achieved annual commercial target after 6 months of the 2020 financial year- Worked with two of the world’s leading companies to drive global COVID strategy, working with C-suite executives

- Extension of previous role to entire GlobalData business- Lead the forecasting operation at both an internal database and bespoke consulting level- Manage daily four employees within the forecasting and modelling team- Lead innovative software development including decision tree, factoring and cluster analysis- Development of GUI interface for forecasting model utilising Docker containers- More commercially focused, generating and pitching new business- Increase in project management, resourcing and final client presentation delivery- Successful project management and delivery of the largest project in company history, involving over 100 personnel - Personally developed a COVID-19 model providing weekly updates for market forecasts across the entire business

- Solely developed and implemented a new forecasting tool using advanced statistical techniques- Tool adopted across much of the business including consumer, retail, financial services, telecoms and tourism industries- Utilised both internally and for bespoke client projects- Extended use of Python software and numerous modules for real-time scenario planning- Also developed price elasticity model using similar techniques to the above- Client-facing experience, gathering client requirements, communicating ideas and successfully pitching new business- Managed daily two employees within the forecasting and modelling team- Project managed market sizing and market feasibility projects with Excel models- Designing and implementing consumer and industry questionnaires to extract critical information- Also developed statistical models for market entry, price elasticity and price tier analysis- Won "Decode the Future" (employee offering the best client insight) prize at the annual global awards in January 2018

- Develop financial analysis and data manipulation software using Python programming, increasing efficiency by 75%- Analyse and interpret big financial data sets, communicating findings with senior personnel - Visualise data using excel techniques- Model future patterns based on historical trends, using Python software- Use SQL software to manipulate and extract big data sets