I am a highly skilled statistical data analyst with expertise in various analytical tools and programming languages, including SPSS, Excel, Stata, EViews, R, RStudio, Python, and Minitab. With a strong background in data management, statistical modeling, and machine learning, I specialize in analyzing complex datasets to derive meaningful insights.
My expertise spans descriptive and inferential statistics, regression analysis, time series forecasting, factor analysis, econometric modeling, and predictive analytics. I have experience handling large datasets across diverse domains, including social sciences, healthcare, finance, and business research. Using SPSS and Stata, I conduct hypothesis testing, ANOVA, and advanced regression models, while EViews allows me to perform efficient time series and panel data analysis. R and Python enable me to apply machine learning techniques, visualization, and big data analytics.
I am passionate about transforming raw data into actionable insights through statistical computing, visualization, and data-driven decision-making. Whether it’s academic research, business intelligence, or predictive modeling, I bring a meticulous and analytical approach to problem-solving. I also provide guidance on research methodology, survey analysis, and data interpretation to support evidence-based decision-making.
With a commitment to accuracy and efficiency, I strive to deliver high-quality data analysis solutions tailored to specific needs. Let’s collaborate to turn data into valuable insights!