

I am a dedicated Data Scientist with a strong foundation in Statistics and Computer Science. Previously, I worked at a leading supply chain planning company, and I now contribute my expertise to a more business-oriented organization. My skills encompass advanced forecasting, optimization, and data visualization, leveraging tools such as Python, BigQuery, and MS SQL Server. I have developed numerous Python applications for data analysis, forecasting, optimization and most importantly automation, significantly enhancing operational efficiency. With a passion and deep interest in AI technologies, I am eager to continue advancing in this field, driving business value through innovative AI solutions and data-driven insights.
As a data scientist my job is to interpret the raw data and extracts valuable meaning with statistical analysis, algorithms and machine learning principles.
My responsibilities:
- Data mining or extracting usable data from valuable data sources
- Investigation and development of data analytics tools
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Analyzing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms and development of forecast engine
- Development of transportation and production of planning service
- Collaborate with Customer Success Team
Statistical Analysis