Our Team
Founder, data strike team lead
- 11 years of experience in data analytics and mathematical modelling
- Leading cross-functional business and technical teams, designing in which business process it makes sense to use data analytics in what way
- Favoriteposition is on the boundaries between business, IT and data science/BI
- 9 years manager in Deloitte – led data/modelling projects for the financial sector in Central Europe, UK and France
- Czech Technical University, Prague – mathematical modelling, Charles University, Prague – financial and insurance mathematics
Data strike team lead
- 5 years of experience in data analytics and business intelligence
- Experience from retail/FMCG, ecommerce and mobility
- Identification of opportunities for using data analytics, architecture
- Advanced mathematical and statistical methods (predictive modelling and machine learning) in R
- Visualisation and dashboards in Tableau (aspiring Zen Master) and GoodData
- Data preparation and ETL using Keboola, SQL
- Specialised on pricing strategy and data-driven marketing
- University of West Bohemia – Commercial Electrical Engineering
Data strike team lead
- 8 years of experience in data analytics, business architecture and mathematical modelling, financial industry expert
- Leading cross-functional business and technical teams, understanding business needs and designing in which business process it makes sense to use data analytics in what way, process analytics, design of data processes
- 3 years manager in Deloitte – led data/modelling projects in finance
- Czech Technical University, Prague – mathematical modelling, Charles University, Prague – financial and insurance mathematics
Senior data scientist, data strike team lead
- 6 years of experience in advanced data analytics and business intelligence
- Experienced in finance/insurance, ecommerce, mobility and lotteries
- Advanced mathematical and statistical methods (predictive modelling and machine learning) in Python, R and SPSS
- Visualization and dashboarding(QlikSense, Tableau, PowerBI), QlikSense Business Analyst certification
- Specialized in customer analytics, digital marketing (Google Analytics certification)
- Czech Technical University, Prague – mathematical modelling
Data engineering lead
- 9 years of experience with BI/DWH/ETL development and architecture
- Specialized in optimization of DWH and BI processes in the enterprise environment using agile methodologies, continuous integration techniques and efficiencies of the cloud
- Expert in business analysis, data modelling, prototyping, metadata driven development in the context of BI and DWH
- Azure/AWS/GCP architecture, MS SQL, Oracle, Sparketc. technologies
Senior data engineer
- 9 years of experience in BI and data analytics
- Expert in insurance, FMCG/retail and finance
- Design of technical architecture of analytics solutions
- Relational databases, loading, transformation and cleansing of data using SQL, Python, R and SAS, Keboolaand Snowflake expert, basic knowledge of Spark
- Data analytics and management of infrastructure in MS Azure
- University of Kent - Economics
Senior data engineer
- 5 years of experience with BI/DWH/ETL development
- Experience especially from finance
- Loading, transformation and cleansing of data using SQL, Python
- Cloud data architecture setup expert (AWS/Azure/GCP)
- University of Economics, Prague – Masters degree in banking and insurance
- Azure/AWS/GCP architecture, MS SQL, Oracle, etc. Technologies
- Reporting in PowerBI
Senior machine learning engineer
- 4 years of experience in data analytics and BI
- Experience from finance, mobility and social media
- Machine learning / Spark architect (certified Spark developer) – building advanced analytics/ML data pipelines in production – AWS + GCP + Azure
- Loading, transformation and cleansing of data using Spark/Databricks, SQL, Python, Keboolaa Snowflake expert
- Advanced mathematical and statistical methods (predictive models, machine learning) using Python + Spark/Databricks
- Czech Technical University, Prague – applied mathematical and stochastic methods
Senior data scientist
- 5 years of experience in advanced data analytics
- Experience from finance, telco, energy, retail
- Advanced mathematical and statistical methods (predictive modelling, machine learning, social network and graph analysis) using R, H2O, SPSS
- Visualization and dashboarding (Qlik Sense, R Shiny), SQL data preparation
- Previous experience from CGI - data scientist
- Czech Technical University, Prague – mathematical modelling
Senior data scientist
- 5 years of intensive experience in data science and BI
- Advanced mathematical and statistical methods (predictive models, machine learning) using Spark and R
- Loading, transformation and cleansing of data using Spark, MS SQL and R
- Elasticsearch expert
- Visualization of data in PowerBIand R
- University of Economics in Prague – Master in cognitive informatics, Ludwig-Maximilians Universität München– PhD in cognitive science
Senior data scientist
- 3 years of experience in advanced data analytics
- Experience from insurance, mobility, ecommerce/retail and FMCG
- Advanced mathematical and statistical methods (predictive models, machine learning, text mining) using R ,Python and Spark, machine learning guru with strong focus on digital channels
- Visualisation and dashboardingin Tableau and QlikSense
- Czech Technical University, Prague – applied mathematical and stochastic methods, studying PhD from 2016
Senior data scientist
- 6 years of experience in machine learning and advanced analytics in both academia and industry
- Advanced mathematical and statistical methods (predictive analytics, segmentation, topic modelling) – Python, Spark
- Text-mining and NLP specialist (information extraction, information retrieval, sentiment analysis)
- Faculty of Electrical Engineering – Master in Artificial Intelligence, studying doctorate in AI and biocybernetics from 2013
Senior data scientist/engineer
- 4 years of experience in BI and data analytics
- Experienced in insurance, lotteries, retail and finance
- Business analysis and design of data solutions
- BI development (DWH/ETL) and reporting/dashboarding– especially MS SQL/SSIS, Keboola, PowerBI, QlikSense
- Advanced analytics in R and Python
- University of Economics, Prague - statistics
Data scientist/engineer
- 2 years of experience in advanced data analytics
- Advanced mathematical and statistical methods (predictive models, machine learning) using Python and Spark
- Visualisation and dashboardingusing QlikSense
- Data preparation using SQL
- Basic application development in Java and JavaScript
- Slovak Technical University– computer science
Václav Kautský
Data scientist
- 3 year of experience in advanced data analytics
- Experience from HR, insurance and mobility
- Advanced mathematical and statistical methods (predictive models, machine learning, text mining) using Python, Spark, Matlab
- Text mining specialist
- Data preparation using SQL, visualisation using Qlik Sense
- Czech Technical University, Prague – applied mathematical and stochastic methods, studying PhD from 2016
Karel Gudera
Data engineer
- Development in C/C++, Java, Javascript, Python, Bash
- Data integration using API, SQL, Keboola
- Management of data infrastructure in Microsoft Azure cloud environment
- Czech Technical University - Faculty of Computer Science
and more...
- Hiring
Send Me More Info
Are you interested in receiving more details about our experience, team and what are the possible models of cooperation? Or do you want to just have a chat about your ambitions and the challenges you are facing in the data area?
DataSentics, a.s.
Washingtonova 1599/17, Nové Město, 110 00 Praha 1
IČ: 05355541, DIČ: CZ05355541
Spisová značka: B 24293 vedená u Městského soudu v Praze
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