Laila Mahmoudi

Developed and executed aggregation python scripts to efficiently populate datasets, resulting in a 30% reduction in data processing time. Utilized Python and SQL to perform statistical analysis on large datasets, identifying key trends and patterns that helped drive strategic decision-making. Developed interactive dashboards, reports, and data visualizations for partners, enhancing their understanding of complex data sets. Collaborated with cross-functional teams to implement machine learning algorithms, resulting in a 15% increase in customer engagement.

- Collected, cleaned, and processed data from various exchanges, including DeFi and CeFi, to generate insights and develop profitable trading strategies. - Utilized AWS SageMaker to develop end-to-end forecasting models, which accurately predicted market trends and provided valuable insights for clients. - Identified profitable arbitrage opportunities using statistical analysis and machine learning models.

- Proficient in using SQL queries for data analysis, manipulation, and management. - Skilled in developing and applying advanced statistical and machine learning models to extract valuable insights from complex data sets. - Expertise in creating visually impactful dashboards using Excel and Tableau for data reporting and visualization. - Experienced in collecting, studying, and interpreting large datasets to derive meaningful insights and actionable recommendations.

- Provide each client with a personalized insurance solution, adapted to their situation and needs. - Customizing or creating special coverage packages for clients when allowed by the company - Offering specialized financial guidance and advice. - Selling different types of insurance policies available in their company