● Application of statistical modeling techniques to establish the dynamics of the use of chemical substances at the national level during the years 2**********. ● Construction, debugging and migration of 10 databases using ETL tools, including Python, R , AWS, and SQL. ● Gathered comprehensive information and performed data analysis on more than 5,000 companies nationwide.

Creation of an interactive monitoring system generated with Machine Learning tools used for strategic decision making

● Implementation of new physicochemical test technologies, such as multiparameter measurements , based on market and business analysis in 20 companies. ● Determination of strategies for clients using data analysis for segmentation.

Increased efficiency of physicochemical tests by up to 20% as a result of data-driven decisions

● Consolidation of databases according to commercial segments for clients. ● Data-based decision making by finding trends using Google tools. ● Formulation of new cosmetic products based on market research chemicals.

Increased profits up to 12% for 20 companies