Statistical Analysis • Data Visualization • Research & Data Analytics
Karishma Ashraf Baig is a motivated Statistics student at Quaid-i-Azam University with a strong academic foundation in official statistics, population analysis, data analysis, and statistical computing. She has hands-on experience using R for exploratory data analysis, data cleaning and preprocessing, statistical visualization, numerical analysis, and statistical inference. Her academic projects include working with datasets, managing missing values and outliers, developing data visualizations using tools such as ggplot2, and applying computational techniques to solve mathematical and analytical problems. She has also developed foundational skills in data analytics, digital marketing, and e-commerce through Google Career Certificates and additional training in Chinese language. With strengths in analytical thinking, communication, resource optimization, multitasking, and meeting deadlines, she is seeking opportunities to contribute to research, data collection, data processing, statistical analysis, and data-driven decision-making.
Analyze datasets using statistical techniques to identify patterns, relationships, trends, and meaningful insights.
Clean, preprocess, and explore datasets to identify patterns, missing values, outliers, and key data characteristics.
Create clear and informative charts and visualizations using R and ggplot2 to communicate statistical findings effectively.
Use R for data manipulation, exploratory analysis, statistical computing, visualization, and analytical tasks.
Prepare raw datasets by handling missing values, identifying outliers, and transforming data for analysis.
Support structured data collection, organization, processing, and preparation for statistical and research analysis.
Provide research support through data processing, statistical analysis, interpretation, and preparation of analytical findings.
Apply computational and numerical techniques in R to solve mathematical problems and analyze numerical approximations.
Analyze population-related datasets and apply statistical methods to understand demographic patterns and trends.
Prepare clear summaries, analytical write-ups, and reports to communicate statistical results and research findings.
Apply foundational data science methods to manipulate datasets, evaluate statistical patterns, and develop data-driven insights.
Use Microsoft Office tools for data organization, documentation, summaries, presentations, and routine analytical tasks.
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Cleaned, preprocessed, and transformed raw datasets using R, including handling missing values and outliers for statistical analysis.
Developed clear and data-driven charts and graphs using R packages such as ggplot2 to interpret trends, patterns, and correlations.
Developed and implemented numerical algorithms in R to solve mathematical problems, optimize data functions, and analyze error approximations.
Applied core data science methodologies to manipulate datasets, evaluate statistical patterns, and develop predictive insights.
Applied statistical concepts and analytical techniques to population-related data as part of academic studies in statistics and official statistics.
Professional Board
Professional Board
Professional Board
NAVTIC, Polytechnic Institute of Women College Islamabad
AKePB Tech Valley
AKePB Tech Valley
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