Analyst & Data Analyst

Zkušený analytik dat a business intelligence s odbornými znalostmi v oblasti ETL, databází a business intelligence. Zkušenosti se získáváním poznatků z dat a zaváděním automatizace procesů. Věnuje se pomoci podnikům přijímat informovaná rozhodnutí tím, že poskytuje jasnou analýzu dat. Zběhlý v několika jazycích a certifikovaný v programování SAS.

Head of Data Analytics & Reporting (Nov 2022 - Oct 2022)

• Managed comprehensive data and reporting functions for the company.
• Prioritized reporting needs based on urgency and integrated data from diverse sources.
• Developed a Golden Dataset in MS Power BI to enhance reporting efficiency.
• Implemented strategies to minimize ad-hoc reporting through dashboards and automation.
• Applied a Single Source of Truth (SSOT) approach to ensure data accuracy.
• Created modeling tools for forecasting and cash flow planning.
• Provided valuable insights across various business domains.

Business Intelligence Consultant (Jul 2021 - Apr 2022)

• Involved in end-to-end support for clients in data and automation.
• Analyzed client requirements and recommended suitable tools.
• Prepared price quotations and developed data models in Power BI.
• Designed report layouts and visuals tailored to different industries.
• Deployed and trained users in operating reports and Power BI.
• Developed custom solutions using Robotic Process Automation (RPA).

Credit Risk Analyst (Jul 2019 - Jun 2021)

• Extracted and interpreted data from a large relational database.
• Streamlined SQL scripts, functions, and procedures (MSSQL Server).
• Utilized various tools, including MS Office, Power BI, and Visual Studio for reporting.
• Designed SSIS and SSRS packages for tables and daily reports.
• Evaluated and enhanced methods for calculating key performance indicators (KPIs).
• Applied Python for outlier detection in loan application data.

Data Scientist (Sep 2018 - Jun 2019)

• Conducted data analysis in diverse industries, including healthcare and banking.
• Cleaned and pre-processed data using PySpark, performed feature engineering.
• Implemented supervised and unsupervised machine learning algorithms.
• Worked on tasks such as sequence prediction, anomaly and fraud detection, and image classification.
• Presented findings in a clear and understandable manner using visualization tools