Mounir B.

As a data scientist, analyst, and statistician, I bring a unique combination of technical expertise, analytical skills, and business acumen to help organizations, individuals turn data into actionable insights. I am in my last year to get my engineer's degree in data science, and I have over 3 years of experience in the field, I have developed a deep understanding of statistical modelling, data visualization, and machine learning algorithms. I have a strong ability to work with large and complex data sets and extract valuable information that drives business decisions. My experience in data analysis, combined with my communicative skills, enables me to clearly and effectively communicate findings and insights to stakeholders of all levels. I am a versatile team player with a passion for using data to solve business problems and drive growth. Here are my main skills: Data Analysis: Ability to collect, clean, and analyze large and complex data sets using statistical methods and software tools. Machine Learning: Expertise in using machine learning algorithms, such as regression analysis, decision trees, and neural networks, to build predictive models and make data-driven decisions. Data Visualization: Skilled in using data visualization tools, such as Tableau, Power BI, and ggplot, to present data insights in an interactive and compelling way. Statistical Modeling: Strong background in statistical modeling techniques, including hypothesis testing, experimental design, and time-series analysis. Big Data Technologies: Familiarity with big data technologies, such as Hadoop, Spark, and NoSQL databases, and ability to work with large data sets. Business Acumen: Ability to understand business problems and provide data-driven solutions that drive growth and improve operations. Communication and Collaboration: Excellent communicator with the ability to effectively collaborate with cross-functional teams, including data engineers, business analysts, and stakeholders. Programming: Proficient in programming languages such as Python, R, and SQL, and ability to use these skills to manipulate and analyze data. LaTeX: ability to create high-quality scientific and technical documents with ease., creating academic papers, dissertations, and scientific reports, I can produce professional-looking documents that are both readable and easily accessible to others.