Yulia Badrutdinova

- Managed, architected and analyzed big data in order to build data driven insights and predictive data models
- Created a value chain to address the challenges of acquiring and evaluating data, as well as distilling & analyzing it
- Employed advanced statistical methods to extract insights and patterns from complex datasets to identify matter of competitive advantage for a project

- Developed ML algorithms for failure predictions and anomaly detection using Decision Trees, Linear/Logistic Regression, and K-Means Clustering

- Designed and implemented data pipelines in AWS Cloud environment, utilizing Python, PySpark, and SQL for efficient data transformations

- Engaged in designing solution and proposal, analyzed and indicated of solutions’ impact on other areas of Data Warehouse through data and data flow analysis
- Prepared business analysis, functional designs, logical models, technical designs, validated solution on development environment and wrote complex SQL and Python scripts
- Analyzed business areas and source systems’ data as well as mapped them to DWH data model

- Prepared business analysis, functional and technical designs, logical models, analyzed business areas and source systems’ data as well as mapped them to DWH data model