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Executive assistant
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Competencies
Utilized Python for data analysis, machine learning, and automation tasks across various projects.
Developed and deployed machine learning models to solve complex business problems.
Performed data cleaning, exploration, and visualization to support research and decision-making.
Managed database queries and data extraction for analysis and reporting purposes.
Supervised junior analysts and coordinated cross-functional teams to deliver data-driven solutions.
Education
Summary
Experienced Data Scientist specializing in AI and machine learning for business applications.
Key Achievements
- Led development of predictive models that improved customer retention by 15%
- Implemented machine learning solutions across multiple business units, enhancing decision-making processes
- Progressed from Data Analyst to Lead Data Scientist, expanding technical expertise and project responsibilities
Experience
MSS
Performed various tasks related to invoices generated for services, products, and discounts provided by AT&T.
Executed transactions to verify transit, account balances, and sales in the SAP system., Accurately organized requested information for the purchasing department using Excel.