Guran Yarikamrani

Led data analysis and statistical modeling projects, enhancing operational efficiency. Delivered data-driven insights and automated solutions using Python, R, and Power BI for various clients.

Taught mathematics and statistics to high school and university students, integrating real-world applications to enhance learning experiences.

Conducted time-series analysis of Bitcoin and Ethereum closing prices using FBProphet and ARIMA models. Developed visualizations and provided insights for financial market analysis, demonstrating seasonality and trends to aid investment decisions.

Spearheaded model validation and machine learning governance to ensure regulatory compliance. Developed financial risk models in Python, improving risk management strategies for key clients.

Collected and analyzed production data using SPSS and Minitab to optimize manufacturing processes. Implemented data visualization for real-time monitoring and achieved cost reduction in the gearbox production department.

Collected and analyzed production data using statistical tools to optimize processes. Directed a team to ensure data integrity and continuous quality improvements.

Operated CNC machines and conducted quality control for gearbox production. Performed precision measurements and ensured compliance in production processes.

Pursuing a Master’s in Statistics and Data Science with relevant courses including Statistical Theorem, Econometrics, Machine Learning, Causal Inference, and Structural Equation Modeling.

Completed a Master’s in Business Intelligence focusing on Business Intelligence, Data Analysis, Statistical Machine Learning, and Financial Econometrics.

Completed a Master’s Program in Statistics with a thesis on comparative analysis of statistical models in R and Python for machine learning predictions.

Earned a Bachelor’s in Mathematical Statistics with relevant courses in Probability Theory, Computer Science (Pascal-programming), and Mathematics-Statistics.