Global position responsible for AI-powered language solutions across the entire organization. I drive innovation by integrating AI strategies and optimizing machine translation systems to enhance linguistic processes and achieve business objectives. The role is comparable to a Principal Data Scientist position, with 40% of the time dedicated to hands-on coding.- Spearheaded the development and enhancement of an LLM-based translation engine, automating manual workflows and aligning AI solutions with organizational goals, resulting in a 12% reduction in post-editing effort.- Conducted hands-on research and testing of new methodologies and technologies to improve translation quality and stay at the forefront of advancements in language AI.

Leading a team of four in impactful projects of creating and maintaining data pipelines, automating marketing communication and implementing AI solutions. - Designing data architecture, building and optimizing data pipelines in Azure Data Factory and SalesForce Marketing cloud for personalized marketing communication. As of now first out of 6 countries has gone live.- Achieved significant conversion rate improvement through the implementation of a predictive model to enhance campaign efficiency for a major client.- Fine tuning language translation models to increase accuracy of machine translation of marketing content. (research, training, implementation)

Achieved shared data strategy of more efficient analytics through adoption of new data models among business analytical teams. Developed and managed BI team of three to formulate analytical data marts and carry out analyses. Utilized Python/Tableau/Hadoop/Spark platform to automate all reports of designated departments.- Significantly reduced delivery times of analytical task and expanded possibilities of analysis along with data from various operational systems. o Saved time on avoiding misunderstandings; aligned KPI calculations; ensured data consistency; and improved data governance and management of data sources. o Prepared data mart based on new model tables by team and patiently convinced colleagues and supported them to start to use the new model tables and data marts.- Consolidated and automated over 50 reports into 20+ tableau dashboards with 10 data sources which led to release of seven analysts from burden of daily routine.- Carried out due diligence requests and integrated external data from partners into analytical data marts.- Re-modelled 10 data models by integrating loan origination and performance data of external partners into internal data sources. - Cut numerous man-days on monthly basis per project through automation of financial predictions while making the results available earlier in the month. - Increased customer conversion by 5% based on analysis of problematic parts of funnel.

A key member of a newly formed functional team. Primary objective was to consolidate technical expertise in the department and facilitate communication and coordination between the business-oriented stakeholders and various IT teams. Secondary aim was to provide effective analytical support to shape data-driven technical solutions.Directed colleagues/teams in completing several projects within strict time frame. - Rolled-out new technologies into approval process such as integration of underwriting decision system with data lake platform. - Created real time business monitoring in Grafana and InfluxDB that decreased detection time of production incidents and frauds by hours. - Made offline scoring process more transparent and robust by migrating it from SQL procedure to Blaze Advisor (SRL Java) decision strategy.Rolled-out risk-based pricing principles to offering of financial products which resulted in improving profitability by 15%. - Championed a launch of new self-service acquisition channel. - Led project in development phase and after successful pilot launching it nationwide. - Represented business in technical discussions related to designing data flows across systems and data strategies in general. - Created multiple data analyses for initial setup of channel and products. - Built next phases and introduced new ideas for product and process enhancements within company's long-term vision and key concepts.

Served as main analyst of new mobile revolving product and new-to-bank cross sell channel.1) Responsible for launching new mobile revolving product - Responsibilities ranging from designing approval process and decision making strategy to applying and optimizing established matured underwriting strategies. - Product successfully piloted and in March 2019 rolled out nationwide.2) Developing and adjusting offline and online underwriting decision strategies for cash loan clients through machine learning. - Responsible for launching new acquisition cross sell channel including product value proposal - increased cross sell volume by 10% by March 2019. - Optimizing cross sell limit assignment strategy resulting in decrease of risk by 5%. - Implementing and calibrating new scorecards for various risk segments. - Conducting various analysis supporting managerial decisions including risk proposals for new pilots.

Various positions and tasks within Risk department in Czech Home Credit Brno (HC NET talent program)- Anti-Fraud - trigger revision and fraud investigation- Scoring - scorecard development- Underwriting - various segment analysisSince Aug 2017 preparation in Home Credit International Prague for position in China.