Iqra A.

Highly skilled Statistician, Quantitative Analyst, Research Writer, and Data Analytics Specialist with a Master’s degree in Statistics and over 5 years of experience in advanced research, statistical analysis, and data-driven problem solving. Experienced in applying modern analytical approaches, intelligent data techniques, and computational methods to improve research efficiency and support strategic decision-making. Strong background in exploring complex datasets to detect trends, patterns, and meaningful associations between variables through quantitative analysis and experimental approaches. Skilled in developing predictive and analytical models using techniques such as regression, forecasting, classification, clustering, simulations, and algorithm-based modeling for research and business insights. Proficient in managing data throughout the analytical lifecycle including data collection, preprocessing, transformation, interpretation, and visualization using tools such as SPSS, SPSS AMOS, Excel, Python, SQL, Minitab, and Google Sheets. Adept at utilizing programming and statistical methodologies to organize large datasets, automate analytical processes, and generate actionable insights. Experienced in supporting research and analytical projects involving both structured and unstructured data while applying statistical reasoning and computational techniques to address organizational and academic challenges. Capable of presenting analytical findings through clear visual reports and dashboards that assist stakeholders in making informed decisions. Successfully completed 450+ projects including theses, dissertations, survey analyses, business analytics tasks, and research studies across multiple disciplines including Social Sciences, Marketing, Finance, Economics, Healthcare, and Business Research. Recognized for accuracy, professionalism, high-quality reporting, and timely project delivery. Areas of Expertise Quantitative & Statistical Analysis Predictive Analytics & Data Modeling Research Methodology & Survey Analysis Exploratory Data Analysis Computational & Statistical Techniques Data Interpretation & Visualization Structured & Unstructured Data Handling Machine Learning-Based Analytical Approaches Research Writing & Academic Reporting Statistical Reporting using SPSS, AMOS, Excel, Python & SQL Statistical & Analytical Services Reliability Analysis (Cronbach’s Alpha) Descriptive Statistics Parametric & Non-Parametric Analysis Regression & Correlation Analysis One-Way & Two-Way ANOVA Repeated Measures ANOVA Independent, Paired & One-Sample t-tests Chi-Square Analysis Mann–Whitney U Test Kruskal–Wallis H Test Cross-Tabulation Analysis Predictive & Comparative Statistical Analysis Best Regards