Ana Madrid

The client had an extremely large data set containing their students’ information (socio- economic indicators, academic records, centre quality, etc.). It was difficult for them to extrapolate the key aspects factors which affect affecting their student’s performance. Ana led her team to identify those factors and also measure in what magnitude each influences students. She used a combination of her statistical knowledge (Econometrics and multivariate analysis) and her data quality background… Show more

The client had an extremely large data set containing their students’ information (socio- economic indicators, academic records, centre quality, etc.). It was difficult for them to extrapolate the key aspects factors which affect affecting their student’s performance. Ana led her team to identify those factors and also measure in what magnitude each influences students. She used a combination of her statistical knowledge (Econometrics and multivariate analysis) and her data quality background to achieve this. Show less

Ana led the Analytics Work stream, combining both Machine learning and Augmented Insights products, on a major data platform transformation global program. She was responsible for developing and executing activities related to end-to-end project management, including project plans and estimates, scoping and requirements through implementation and deployment. Proactively monitor, manage, and report on execution of deliverables.
Creating a value chain to help address the challenges of… Show more

Ana led the Analytics Work stream, combining both Machine learning and Augmented Insights products, on a major data platform transformation global program. She was responsible for developing and executing activities related to end-to-end project management, including project plans and estimates, scoping and requirements through implementation and deployment. Proactively monitor, manage, and report on execution of deliverables.
Creating a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analysing. Using data from multiple sources, providing guidance on its value to build AI assets, and thought leadership. Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation. Show less

Ana worked with the Board and senior leadership to define their Data Strategy for the group. This included running sessions with Board members, immersions session with key leadership teams and presenting back results to the Board. She also provided update sessions with the Transformation Lead. She led this piece of work with energy and enthusiasm and brought her experience and knowledge from Accenture but also listened to the client context to propose a strategy that was fit for purpose. Ana… Show more

Ana worked with the Board and senior leadership to define their Data Strategy for the group. This included running sessions with Board members, immersions session with key leadership teams and presenting back results to the Board. She also provided update sessions with the Transformation Lead. She led this piece of work with energy and enthusiasm and brought her experience and knowledge from Accenture but also listened to the client context to propose a strategy that was fit for purpose. Ana made use of her analytical skills and knowledge of how organisations drive value from data. Show less

Ana helped a global bank to identify large benefits through the use of the latest machine learning techniques and Agile working methodologies. She led a 20+ person data science team in the UK, and subsequently in Hong Kong. She defined and helped deliver the use cases end-to-end, and put machine learning best practices into effect.
Furthermore, she ensured the practicability and actionability of the work produced, leading the implementation work for the models created.
The success of… Show more

Ana helped a global bank to identify large benefits through the use of the latest machine learning techniques and Agile working methodologies. She led a 20+ person data science team in the UK, and subsequently in Hong Kong. She defined and helped deliver the use cases end-to-end, and put machine learning best practices into effect.
Furthermore, she ensured the practicability and actionability of the work produced, leading the implementation work for the models created.
The success of this project has ensured sustained funding for the programme, and has resulted in additional global roll-outs using the same management framework, which Ana has also led.
In addition, Ana has designed the strategy for new ways of working (agile AI) and she is helping the bank to implement this globally. Show less

Ana lead multiple teams of consultants who created a comprehensive CLTV for a large UK insurer. This was based on the probabilities of renewals, up take of ancillary products and cross sell opportunities. The renewal pricing was calculated using machine learning algorithms developed in partnership with MIT. Additionally, the team she led employed innovative techniques to model uplift. This helped to understand individual customer elasticity at each stage. The result allowed the team to… Show more

Ana lead multiple teams of consultants who created a comprehensive CLTV for a large UK insurer. This was based on the probabilities of renewals, up take of ancillary products and cross sell opportunities. The renewal pricing was calculated using machine learning algorithms developed in partnership with MIT. Additionally, the team she led employed innovative techniques to model uplift. This helped to understand individual customer elasticity at each stage. The result allowed the team to optimise the pricing and marketing strategy and was used to drive significant business benefits. Show less

Ana helped a UK large insurer to detect and prevent losses due to fraudulent motor and home insurance claims. This was done by predicting the severity of the claim & propensity of 3rd party injury claim. Ana deployed machine learning algorithms and performed detailed analysis meanwhile managing a team of experienced consultants. This involved analysing 150GB+ of claims data and included text mining claim notes to build predictive variables. As a direct result, the client saw a significant… Show more

Ana helped a UK large insurer to detect and prevent losses due to fraudulent motor and home insurance claims. This was done by predicting the severity of the claim & propensity of 3rd party injury claim. Ana deployed machine learning algorithms and performed detailed analysis meanwhile managing a team of experienced consultants. This involved analysing 150GB+ of claims data and included text mining claim notes to build predictive variables. As a direct result, the client saw a significant reduction in claims losses and a rapid return on initial investment. Show less

The client had challenged Ana to measure the price elasticity of their varied product portfolio in order to optimise pricing. Ana’s team used different AI techniques, based on sales analysis, and revenue optimisation, to create an assortment of market scenarios (different price points, promotions and bespoke customer price points). This enabled the client to identify and subsequently implement the optimal price for each product increasing their revenue.
The client was able to manage this… Show more

The client had challenged Ana to measure the price elasticity of their varied product portfolio in order to optimise pricing. Ana’s team used different AI techniques, based on sales analysis, and revenue optimisation, to create an assortment of market scenarios (different price points, promotions and bespoke customer price points). This enabled the client to identify and subsequently implement the optimal price for each product increasing their revenue.
The client was able to manage this through a visualisation tool to understand the gains but also to manage the alternatives proposed. Show less

In order to more efficiently manage the recruitment of temporary staff more efficiently, Ana was able to identify business factors which are affected by lack of extra personnel. Then by using predictive modelling,
Testing multiple variables and how they interact with one another,
giving Ana was able to forecast the factors identified, and project business outcomes. This prediction piece enabled the organisation to determine where to allocate temporary staff for maximum benefit.