Matúš Karahuta

Delivered automation for two payment processors, helping the client prepare for the next step in fintech cooperation. Fully designed and built out a pipeline that extracts, loads, transforms, and outputs a dataset for anti-money laundering checks.

Supported the Cross Meta Support team, creating metrics, dashboards, and pipelines to provide a unified look into major goals of a new monetization program. Produced analyses into discrepancies of foundational datasets during an initiative to streamline the data landscape.

Refactored LookML code using best practices, resulting in higher data integrity and fewer workarounds needed to display correct information. Adjusted metrics calculations based on new dbt models, enabling a better granular view into client performance.

Designed and established a cloud solution for a global activewear company. Consulted on processes, application design, and usage, implementing relational and non-relational warehouses.

Implemented a reporting migration from SAP HANA to AWS, improving data quality and resilience. Created ETL data pipeline flows in Apache NiFi via an S3 data lake, APIs, or SAP HANA.

Created dashboards within Looker, created data models in LookML, and set up user permissions and roles. Processed input files and set up ETL on top of AWS Redshift.

Migrated Looker dashboards to Data Studio, created truth tables enabling consistent analyses. Supported data integrity and consistency across reporting platforms.

Analyzed customer behavior and performed UAT for a new user tracking system. Adapted a JavaScript visualization plugin for Looker (Vega) to enhance reporting capabilities.

Designed a full data solution for the project, creatively connecting incident data with location data from three different vendors. Served as a lead to one other person on the project.

Implemented a solution allowing business to account for creation and attribution of customer credit. Optimized the creation of Profit and Loss statements, allowing further expansion into more levels of detail.

Produced dashboards in Tableau and provided business insights based on sales performance. Used machine learning to help select the best location for the next store.

Consulted companies in Data Analysis and Data Engineering utilizing cloud technologies like Google Cloud and Amazon Web Services. Pioneered ways of data utilization that had been previously unavailable.

Overhauled cross-device measurement from probabilistic to deterministic, increasing proven added conversions from 20% to 50%. Improved data accuracy and reporting for client websites.

Standardized output and reduced manual work through Python scripts. Contributed to process efficiency and data consistency.

Overhauled the whole reporting framework by automating 70% of reports sent, resulting in 0.5 FTE reduction. Reduced time to calculate monthly bonuses by 97.5% and eliminated managerial involvement.

Recreated full reporting structure after migration from Cognos/Access to SAP ERP. Automated processes using VBA to improve efficiency.

Managed projects related to network services. Oversaw various aspects of project lifecycle.

Handled granular billing for network services. Ensured accuracy and efficiency in billing processes.

Completed a Master's degree focusing on Finance, Banking, and Investment. Gained in-depth knowledge and analytical skills relevant to financial markets and economic principles.