I am a statistician and AI scientist, possessing 8 years of experience in statistical modelling and data science skills. I successfully applied my knowledge to geomarketing/spatial analysis in Telecoms, health insurance pricing and ad spend optimisation in e-commerce. I also taught, during 2 years, courses in datamining, decision support systems and spatial analysis at UNISAT.
Moreover, I know software development techniques and life cycle, especially when it is about AI and data products. I take a careful approach to evaluation, whether for products, statistical models or policy interventions.
I am particularly interested in learning in multiagent settings. I will be happy to take part in high impact projects revolving around those issues, from start to finish. Feel free to contact me if you need a professional for your data projects.
I work with tabular or unstructured data, applying basic and sophisticated models depending on context.
From MS SQL Server or Oracle to MariaDB or PostgreSQL, I have no difficulty with data definition, manipulation and control.
Exploratory data analysis and visualisation are integral parts of our insight extraction process.
I am proficient in R, SQL and Python. I also have some working knowledge of Java. Emphasis is put on testing and evaluation.
I use statistical modelling for in-depth inference on problems requiring a tailored and case-specific approach.
Whether it is about disseminating insights or delivering a professional training, I consider non-technical audiences.