Roozbeh Yousefi Email & Phone Number

As an experienced business analytics specialist, data scientist, and mathematical thought leader, I possess extensive knowledge of data-driven decision-making, online Bayesian learning, data-driven optimization, machine learning algorithms, stochastic control, revenue management, statistical modeling, and pricing. I have worked in cloud computing environments like Azure and AWS.I have a strong background in business process management, business analysis, strategic planning, and socioeconomic systems. My expertise lies in designing and implementing predictive models and algorithms to optimize business processes, drive revenue growth, and improve efficiency. Additionally, I have a solid foundation in data science, including working with databases, SQL, and Tableau. I have developed skills in querying databases using SQL to extract, manipulate, and analyze data. Moreover, I have expertise in data visualization, and I am proficient in using Tableau, Microsoft Power BI, or Python visualization libraries to create clear and concise visual representations of complex data sets. I have gained international experience and played the consultant role in industries such as power, transportation, civil aviation, and education systems. With my exceptional analytical skills, diverse background, and proficiency in quantitative analysis, I am well-positioned for .Programming languages: Proficient in: Python, AMPL, R, SQL, and Python Libraries such as NumPy, SciPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow.Software: Power BI, Matlab, MS Office Suite, Maple, LATEX, Jupyter, @Risk, PrecisionTree, ARENA, Microsoft Azure, Azure Cognitive Services, Google BigQuery, AWS SageMaker, SAS, VS code, and TableauApplied Science: Revenue Management, Pricing, Optimal Control, Machine Learning, Data Analytics, Data Visualization, Operation Research, Statistical Modeling, POMDP, Econometrics, Time Series Analysis, Cloud Computing, and Bayesian Learning

Listed skills include Project Planning, Ms Project, Project Management, Matlab, and 38 others.