Jan Cerny

Jan Cerny Email and Phone Number

Manager Consumer Intelligence / Data Science @ Philip Morris International
lausanne, vaud, switzerland
Jan Cerny's Location
Prague Metropolitan Area, Czech Republic
Jan Cerny's Contact Details

Jan Cerny work email

Jan Cerny personal email

n/a
About Jan Cerny

The best way to predict the future is to create it: I am self starter, fast learner and quick adapter. Resourceful problem solver with careful attention to detail. Very articulate and capable of handling important client interactions. I love change because if I sit still to long I start to go crazy.I love to dig into customer problems and solve them with modern technology. I create, scale and optimize AI solutions that matter. My goal is to facilitate responses to dynamic market developments and satisfy its business requirements. Most importantly I consolidate and streamline the deployment of analytical models and automate operational decisions based on data and trustworthy analysis. I am on the mission to ensure that decisions are made quickly and consistently in business systems and applications, as well as for agents who deal with clients.Big Data | Predictive Analytics | Visualization | Data Discovery and Integration | Network Analytics | Hadoop | SaaS | Information Management | Business Intelligence | Customer Experience Management | Next Best Offers, NBA | Data Quality | Campaign Management | Service Fulfillment | Service Assurance | Fraud Management | OSS | CRM | CEM | GDPR | IFRS15 | IFRS9

Jan Cerny's Current Company Details
Philip Morris International

Philip Morris International

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Manager Consumer Intelligence / Data Science
lausanne, vaud, switzerland
Website:
pmi.com
Employees:
45857
Jan Cerny Work Experience Details
  • Philip Morris International
    Manager Consumer Intelligence
    Philip Morris International Apr 2022 - Present
    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.
  • Sas
    Sr Business Solutions Manager
    Sas Jan 2019 - Jul 2022
    Prague, The Capital, Czech Republic
  • Sas
    Business Solutions Manager
    Sas Oct 2015 - Jul 2022
    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.
  • O2 Czech Republic, A.S.
    Specialist For Segmentation And Modeling – Big Data (Predictive Analytics)
    O2 Czech Republic, A.S. Feb 2013 - Sep 2015
    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.
  • Telefónica
    European Graduate Programme – Leadership Program
    Telefónica Jul 2013 - Jun 2015
  • Telefonica Czech Republic, A.S.
    Internship Programme – Predictive Analytics
    Telefonica Czech Republic, A.S. Aug 2012 - Feb 2013
    Creating new affinity models from scratch , reports, ad-hoc analysis and evaluations.

Jan Cerny Skills

Sas Microsoft Office Sql Teradata Sas E Miner Sas Base Sap Erp Big Data Acess Ms Project Visio Oracle Mysql Microsoft Sql Server Photoshop Visual Basic Text Mining Predictive Analytics Data Science Python

Jan Cerny Education Details

Frequently Asked Questions about Jan Cerny

What company does Jan Cerny work for?

Jan Cerny works for Philip Morris International

What is Jan Cerny's role at the current company?

Jan Cerny's current role is Manager Consumer Intelligence / Data Science.

What is Jan Cerny's email address?

Jan Cerny's email address is ja****@****sas.com

What schools did Jan Cerny attend?

Jan Cerny attended Czech University Of Life Sciences Prague, Kymenlaakso University Of Applied Sciences, Kotka, Finland.

What are some of Jan Cerny's interests?

Jan Cerny has interest in My Interests Are Travel, Couchsurfing Project, Playing Football.

What skills is Jan Cerny known for?

Jan Cerny has skills like Sas, Microsoft Office, Sql, Teradata, Sas E Miner, Sas Base, Sap Erp, Big Data, Acess, Ms Project, Visio, Oracle.

Who are Jan Cerny's colleagues?

Jan Cerny's colleagues are Chiara Lo Bello, Suzanne Voirol, Victor Lim, Darren Pang, Mabvuto Kamalondo, Shane Donald, Jelena Kostov.

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