Recent graduate with a degree in mechanical engineering and experience in data analysis, machine learning, and statistical modeling. . Strong knowledge of Python and SQL and ability to apply it for data mining, statistics and machine learning models.
Led the development of data-driven information and recommendations to improve maintenance operations in the mining industry. Presented findings to stakeholders and made recommendations for future implementations in different aspects.
Major achievementPerformed statistical analysis on large data sets using Python, resulting in a 20% decrease in computer downtime. This resulted in a monthly mineral yield increase of 3%.