Jan Cerny Email & Phone Number

Prague, Czechia

Lead a team of business analysts and data scientists in developing and deploying analytical tools that allow for business growth in physical and digital markets. These techniques will enable us to further our competitive advantage in the combined sales and marketing of our smoke-free products.Representative Areas of Focus:• Define enterprise analytics strategy and execution in Czechia, Slovakia, and Hungary.• Deliver BI Reporting to fully empowered potential of data owned.• Develop innovative solutions in line with consumer-centricity principles and an agile way of working. As such, these projects include but are not limited to: Customer segmentation, NPS and CES modeling and visualization (surveys, weighted NPS, response rate, customer care calls, etc.), analysis of customer acquisition, churn, and lifetime value models in support of a digital activity, and extensive data mining and exploration to create customized offers.

Prague, The Capital, Czech Republic

Acted as presales consultant for the SAS solutions in the analytics landscape covering Big Data Analytics, Data Mining, Machine Learning, Statistical Analysis, High Performance Analytics.Developed go-to-market strategy for the solutions of responsibility, which includes formulating SAS Analytics value proposition and use cases for various industries, forming relevant solution packaging and positioning stragies against the competition.Assisted sales executives in identification of customer's key business issues / needs and translating these needs into SAS solutions to be recommendedCarried out all the technical aspects of the sales cycle by preparing industry specific demos and presentations, engaging in the PoCs and answering RFPs.

Creating Predictive models. Modeling techniques used include Generalized Linear Models, Neural networks, ARIMA time series models, Principal component regression and linear regression. Create ad-hoc reports using SQL and SAS, evluation and presentation of results. Experienced in interpellation of data into actionable, and meaningful insights and present the results to stakeholders and senior management. Cooperate on data projects across multiple teams from defining projects’ scope to model implementation and validation.

Creating new affinity models from scratch , reports, ad-hoc analysis and evaluations.

Master’S Degree, Faculty: Economics And Management, Study: Informatics

Bachelor'S Degree, Faculty: Economics And Management, Industry Logistics And Management