- Identifying opportunities to automate sales processes- Developing and implementing automation solutions- Managing and maintaining automation tools and software- Training sales team on how to use automation tools effectively- Collaborating with IT, sales, and other teams to optimize sales automation

- Collecting and analyzing sales data from various sources- Creating reports and visualizations to help management understand key trends and patterns in sales- Providing insights and recommendations to the sales team to help improve performance- Assist in forecasting and budgeting

- Conducted in-depth data analysis utilizing Python and SQL to extract, transform, and load data from various sources, ensuring data accuracy and reliability.- Employed advanced data visualization techniques to present complex data insights and trends to stakeholders, facilitating data-driven decision-making processes.- Collaborated closely with cross-functional teams to identify key business challenges and developed custom analytics solutions to address them effectively.- Performed data cleansing and preprocessing to optimize datasets for analysis, leading to improved data quality and more accurate analytical outcomes.- Created comprehensive reports and dashboards, providing actionable insights to management and assisting in strategic planning and resource allocation.- Proactively monitored data trends, identified anomalies, and recommended corrective measures to ensure data integrity and consistency.

Student in the Ayiti Analytics Data Science Bootcamp, a program designed to propel youth in Haiti into careers in technology.Presented and communicated data-driven insights using Python & SQL. Mastered the basics of machine learning to forecast trends and drive insights. Obtained the IBM Data Science Professional Certificate.