Samira MOSBAH

Design and implementation of a modular research platform (QuantX Alpha Lab) focused on quantitative trading strategies using real market data (e.g., E-mini S&P 500, Gold, Crude Oil Futures). This project is designed to bridge theoretical models with real-world market execution, and to build a foundation for future work in quantitative research or trading strategy development. Objectives: • Apply ML and statistical models to financial time series • Extract signals (momentum, mean reversion, cointegration

Designed a strategic economic intelligence solution for SESA (industrial SME). - Collected and analyzed multi-source operational and ESG data - Built predictive models to identify strategic performance drivers - Delivered a custom interactive dashboard to support executive decision-making.

During my Data Science program, I successfully completed over 10 projects focused on real-world applications of data analysis, machine learning,deep learning and predictive modeling. These projects allowed me to develop key skills and deliver impactful insights for various use cases. Analyzed financial datasets to identify investment trends and provide insights for strategic decision-making. - Developed and deployed machine learning models for predictive analysis, using algorithms such as decision trees, r

During my time as a Data Analyst, I successfully completed 10 projects that focused on applying data analysis techniques, machine learning, and deep learning to solve real-world problems. These projects allowed me to refine my skills in handling large datasets, building predictive models, and delivering actionable insights to clients. - Performed exploratory and descriptive data analysis using statistical methods and Python to extract meaningful insights. - Built and optimized machine learning models (supe

Analysis of financial data, risk assessment, and recommendation of investment solutions. Credit Manager : Assessment of loan applications, analysis of credit risks, and decision-making regarding the granting of credits.

As a recent graduate with a strong foundation in data science, I have developed expertise in data analysis, machine learning, and deep learning through hands-on projects. Proficient in Python, R, SQL, and Big Data tools like Hadoop and Apache Spark, I focus on turning complex data into strategic in

Graduated as a Data Analyst, specializing in statistical modeling, data visualization, and predictive analysis using tools like SQL and Python. I translate data into actionable insights to optimize strategies and operational performance through dynamic dashboards.

• Started a Master's in Finance - Administrative and Financial Management in Business in 2010 • Gained expertise in corporate finance, risk management, and management control • Developed skills in strategic decision-making and financial analysis • Prepared to tackle various professional challenges