Tomasz Tarczyński Email & Phone Number

Warszawa, Woj. Mazowieckie, Polska

Key responsibilities:- Lead and manage the data science team responsible for building predictive models.- Develop and implement data strategies aligned with business objectives.- Oversee the creation of predictive models for 10 markets.- Build scorecards for both home credit and digital business segments.- Utilize cloud technologies for scalable and efficient data processing and analysis.- Ensure the accuracy, reliability, and integrity of the predictive models hosted on the cloud.- Collaborate with cross-functional teams to identify business challenges and opportunities.- Drive data-driven decision-making by providing actionable insights.- Stay up to date with advancements in data science methodologies, cloud platforms, and technologies.- Foster a culture of innovation and continuous learning within the data science team.- Establish and maintain data governance practices to protect data privacy and security.- Collaborate with stakeholders to prioritize and execute data science projects.- Present findings and recommendations to senior management and key stakeholders.

Warszawa

Key responsibilities:- Building the Data Science Team: Established and led a high-performing data science team, assembling talented professionals and fostering a collaborative environment.- Data Science Strategy: Developed and executed a robust data science strategy, aligning it with the organization's objectives and market requirements. This involved identifying key focus areas and prioritizing data science initiatives accordingly.- Data Mining Model Preparation: Led the development and implementation of advanced data mining models, leveraging cutting-edge techniques and algorithms to extract valuable insights from complex datasets.- Identifying Business Opportunities: Proactively identified and evaluated business opportunities where data science could be applied to drive innovation, optimize processes, and improve decision-making across various functional areas.- Promoting Data Science Adoption: Raised awareness and advocated for the adoption of data science across markets, highlighting its potential to drive strategic growth and enhance operational efficiency. This involved collaborating with stakeholders, conducting training sessions, and showcasing successful use cases.

Warszawa, Woj. Mazowieckie, Polska

Key responsibilites:- Project Coordination: Led the coordination of data mining projects, ensuring smooth execution and alignment with business objectives. I effectively managed project timelines, resources, and deliverables to achieve successful outcomes.- Building Advanced Analytics Team: Established and built an advanced analytics team in Poland, strategically assembling a talented group of professionals with expertise in statistical modeling, machine learning, and data analysis. This involved recruiting top talent, fostering a collaborative environment, and providing guidance for skill development.- Global Statistical Team Collaboration: Collaborated closely with statistical teams located in different hubs around the world. By leveraging their expertise and sharing best practices, I promoted knowledge exchange and facilitated the implementation of advanced analytical approaches across the organization.- Advancing Analytical Approaches: Spearheaded the transition from simple analytical approaches to more advanced techniques. I identified areas where advanced analytics could unlock greater value and efficiency, and successfully advocated for the adoption of sophisticated models, algorithms, and methodologies to enhance decision-making processes.

Warsaw

Responsible for:- Coordination of data mining projects- Preparation of analyzes for the board- Monitoring risk of financial projects- Cooperation with financial departments in other countries- Analysis of the financial viability of projects

Warsaw

Responsible for:- Gathering business requirements- Building data mining models- Periodical model validation- Model implementation

Polkomtel Sa

- Building predictive models- Validation of scoring models- Design and maintance of analytical data marts- Data quality inspection

- Building regression models- Statistical analyses- Sales analyses- Development of software packages

- Maintaining websites written in ASP.NET

Emba, Executive Mba

Strategy Execution

Education record