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@ayeshasarfraz1
Proactive data analyst with a strong foundation in statistics.
I am a proactive and analytical Data Analyst currently pursuing an MPhil in Statistics from Quaid-i-Azam University. My academic journey has equipped me with a robust foundation in statistics and data science, complemented by hands-on experience in regression analysis, data simulation, and machine learning. I am passionate about transforming data into actionable insights that drive informed decision-making.
Throughout my studies, I have developed proficiency in various statistical tools and programming languages, including Python, R, SPSS, and Excel. My thesis focuses on innovative ridge-type regression methodologies aimed at enhancing model performance in the presence of multicollinearity and data irregularities. I have also successfully designed and analyzed surveys, such as the COVID-19 Social Impact Survey, which evaluated psychological and behavioral changes during the pandemic.
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Work history, roles, and key accomplishments
Freelance
Jan 2021 - Present (4 years 10 months)
Provided personalized tutoring in Statistics and Mathematics to school and university students. Helped students understand statistical software and analytical methods.
Freelance
Jan 2020 - Dec 2022 (2 years 11 months)
Wrote academic and research content for websites and blogs. Specialized in making statistical and scientific concepts easy to understand.
Degrees, certifications, and relevant coursework
MPhil in Statistics, Statistics
Activities and societies: Courses: Spatial Statistics, Machine Learning, Estimation Theory, Operational Research, Linear Models, Bayesian Inference
Currently pursuing an MPhil in Statistics, focusing on advanced statistical methodologies. Engaged in ongoing research for a thesis on innovative ridge-type regression methodologies.
BS in Statistics, Statistics
Grade: 3.01
Activities and societies: Relevant Courses: Probability, Regression Analysis, Time Series, Econometrics, Multivariate Analysis, Survey Design
Completed a Bachelor of Science in Statistics, gaining a strong foundation in statistical analysis. Successfully completed multiple practical assignments and statistical projects.
Intermediate in Computer Science, Computer Science
Studied a comprehensive curriculum in Mathematics, Computer Science, and Statistics. Developed foundational knowledge in these key areas.
Matriculation (Science), Science
Completed Matriculation with a focus on science subjects. Major subjects included Mathematics, Chemistry, Biology, and Physics.
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