I am a data scientist/analyst with over 10 years experience having worked on projects across the banking, retail, FMCG, online retail and oil. I have worked for companies such as Accenture, WPP, River Island, BP, Nestle, GSK. I enjoy giving insights to all types of companies based on their data in which they can use to build in their forward strategy. I have used methods such as Econometrics, marketing mix modelling, predictive analytics, google analytics, online analytics, data visualisation, methods in order to do this. I believe I can help companies of all sizes that have a lot of data by using the methods I have picked up working with those companies that I have provided analytical consultancy advise too. I can explain complex data in more simple turns. When I worked at WPP ( Mindshare) I developed a Price Optimisation strategy that was rolled out by Mindshare on various clients. I Developed methods of integrating market research surveys into statistical models For Castrol Oil (BP). I delivered training sessions on pricing and promotions analytics for retail. I helped promote and delivered part of the data science training at the Bank of England. I use predictive/Econometric models built in EViews and R studio to obtain media long term ROI in order to inform clients how to optimize their media budget allocations across different media channels. I did this with Diageo which involved advising how to spend £60 million of their media budget. I found that the ROI of media was not profitable unless brands invested in media when promotions for a particular brand was on. By changing their media strategy they were able to increase their media ROI from under 1 to over 2. This meant they made a extra £5million from media. I am able to recommend on product pricing strategy using price elasticity and cross price elasticity’s obtained from these econometric models. I can evaluate changes in product price elasticity over time and how this effects long term product profitability. I have used data to present recommendations of product optimal price in the short and long run. For example I told River Island to increase their general retail selling price due to in order to increase profit. The year after they had done this their profit had increased by £5million due to taking my pricing recommendation. The final phase of my projects is to present data (from the model) in a way that can be understood by clients across different areas within an organization. This is in the form of a presentation to clients. For one of my clients Bensons for Beds/ Harveys I presented to marketing directors, finance, business analysts and media planners. Due to my wide experience working with many organisations I feel I can offer this service to any company with data across multiple industries.