We are a software company specializing in bespoke AI/ML development. We help companies and organizations successfully implement AI and ML into their own products and services. We are currently operating two platforms:Alviss AI: A sales attribution platform enabling you to identify, quantify, simulate, predict and optimize the effect your marketing and sales activities have on your business using your domain knowledge together with Bayesian Scientific AI models. For more information visit https://alviss.ioAiChemy: A platform for early stage AI based small molecule drug discovery capable of ultra large virtual screening using blind docking and molecular property predictions. For more information visit https://aichemy.io

Heading the development of the next generation Bayesian Artificial Intelligence engine for predictive cross-channel media analytics leveraging state of the art statistical science with a SaaS platform with the intent to improve the efficiency and transparency in the media market.

Bringing Artificial Intelligence and Machine learning into the decision making process for Businesses focusing on product pricing, portfolio optimizations, customer segmentation.

I managed a group of statistical analysts and data researchers. We worked with fact based marketing where we provided clients with strategic and tactical recommendations based on robust statistical models. These models were developed and deployed using R, Business Objects, and Microsoft BI tools.Core deliverables included:* Business Performance optimization* Churn minimization* Identifying sales drivers* Customer retention strategies* Price optimization* Portfolio optimization* ROI optimization

I was helping out in the risk domain where I developed efficient Monte Carlo algorithms for the estimation of Value at Risk (VaR). Other than that I developed and maintained business intelligence reports for customers using SimCorp's product Dimension. This task mainly involved working with Crystal Reports. In another project I was working with streamlining a new technology for Dimension called Client Reporting which enables customers to deliver reports to their clients in a well structured manner.I was also the Team Leader for the Reporting team in the Technical Deployment division. The team was responsible for the creation of business intelligence reports within domains such as risk, performance and general transactions reports. Other than that our activities involved implementation, education, best practice development, support and strategic development.

I did research in machine learning, data mining, and decision support systems. I developed and implemented predictive models using C++, Java, Perl and Python. Together with a clinical research group I worked with predicting acute heart diseases from electrocardiogram data, in order to allow physicians to make faster and more accurate diagnoses.

I was part of a team developing BASE, which is a comprehensive free web-based database solution for the massive amounts of data generated by microarray analysis. The core of the product is built on Java and mySQL with Hibernate in between. The user interface is developed in JSP.