Azra Tayyab
Technical Writer | Research, Documentation & Data Analysis
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Remote Project Team Performance Research
Client Research Project | Quantitative Research & Statistical Analysis
Completed a research project investigating the factors affecting project team performance in remote working environments. I worked on the research structure, literature review, quantitative analysis, statistical testing, interpretation, and final research reporting.
The project involved 21 survey participants and analysis using descriptive statistics, Spearman correlation, and ordinal regression.
The analysis examined factors including communication, collaboration, employee engagement, flexible work policies, technology, and leadership. The results were presented through statistical tables, charts, interpretation, and practical recommendations for improving remote project team performance.
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Parental Vaccine Beliefs & Social Media Research
Client Research Project | Statistical Analysis & Research Reporting
Completed a quantitative research project examining parental beliefs about childhood vaccines and the influence of social media on those beliefs. I analyzed survey data from 100 participants in California using Stata, applying frequency analysis, chi-square testing, and regression analysis. I also developed statistical tables, interpreted the results, and presented the findings in a structured research report.
Key finding: The analysis showed that social media influenced parental perceptions, while the chi-square test found no significant relationship between parental vaccine beliefs and reported impacts on children's health. Regression analysis identified ethnicity as the only significant predictor among the variables examined.
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AI & Digital Marketing Strategy Research
Client Research Project | Research Writing & Data Analysis
Completed a quantitative research project examining how AI can optimize digital marketing strategies and improve marketing performance.
I conducted the literature review, developed the research methodology, analyzed survey data from 150 respondents using SPSS, and performed descriptive, reliability, correlation, regression, and hypothesis testing. I also prepared the research tables, visualizations, results interpretation, and final report.
Key Result: The analysis found a significant relationship between AI adoption and digital marketing optimization, with AI explaining 37.9% of the variation in marketing strategy performance.
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Income & Expenditure Statistical Analysis
Completed a quantitative data analysis project focused on examining income and expenditure patterns within a client dataset. I carried out a structured statistical analysis to identify distribution patterns, variation, and the relationship between the two variables.
The work included calculating and interpreting descriptive statistics such as mean, median, mode, standard deviation, variance, range, quartiles, skewness, and coefficient of variation. I also analyzed income and expenditure distributions using histograms and presented the results through professionally formatted statistical tables.
To examine the relationship between income and expenditure, I conducted correlation analysis and developed a scatter plot to visually communicate the findings. The analysis identified a strong positive correlation (r = 0.800), which was clearly interpreted and incorporated into the research report.
I transformed the statistical output into clear, client-ready findings with organized tables, charts, visualizations, and concise written interpretation suitable for academic and research reporting.
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