Yusra F.

Hello, my name is Yusra Fayyaz. I hold an MPhil Research degree in Statistics and have three years of experience applying statistical methods across academic, medical, financial, and industrial projects. My expertise includes statistical programming, data analysis, exploratory and confirmatory analysis, feature selection, probabilistic techniques, sampling design, statistical estimation, and experimental design. I specialize in both time series and spatial modeling, with a lot of experience in regression techniques, including linear, non-linear, mixed-effect, and econometric models. I am proficient in general and generalized linear models, generalized additive models (GAMs), and Bayesian hierarchical and spatial models with various priors. Alongside statistical modeling, I can assist with machine learning and deep learning methods such as LSTM, CNN, and Transformer architectures for forecasting and image classification projects. I can also perform SQL-based data handling and use Visual Studio Code for analytical scripting and workflow automation. Beyond analysis, I create interactive dashboards and reports in Power BI and Tableau to track and visualize key performance indicators. For data analysis summaries, theoretical explanations, or statistical reports, I provide well-structured documentation in Overleaf, LaTeX, Word, and Markdown according to project requirements. I conduct my work using RStudio, Python, SPSS, Jamovi, Minitab, JASP, WEKA, and Excel/Google Sheets.