Chicago, IL

312-***-****

Zehra Amir

admva6@r.postjobfree.com

LinkedIn: Zehra Amir LinkedIn

Education

University of Illinois at Chicago

May 2021

B.S. in Mathematics and Computer Science, Minor in Information and Decision Science.

GPA 3.64/4.00; Honors College Member; Dean’s List (6 Semesters); UIC Global Scholarship

Courses: Statistical Computation, Data Structures, Algorithms, Databases, Machine Learning

Skills

Programming Languages: Python, R, SQL, C++, JavaScript, Excel VBA, Power BI

Libraries and Software: Pandas, NumPy, SciPy, Scikit-Learn, Matplotlib, Seaborn, SAS, Tableau

Graphic Design: Adobe Creative Cloud (Illustrator, Photoshop, Lightroom), Blender

Certification: SQL for Data Science on Coursera from University of California, Davis

Projects and Research

Ordered Algebraic Structures – R

Capstone Project

Researched on group theory, specializing in geometrical modelling of ordered discrete groups.

Analyzed and compared vectors using R Studio by generating two-dimensional planes.

Proved group isomorphism by showing bijective homomorphism of a group using induction.

Vehicle Sale Date Estimator – Python

Fall 2020

Cleaned and processed used vehicles dataset, containing 38,530 records and 30 variables to determine the variables that affect the sale time of a vehicle the most.

Predicted sale date using 4 machine learning models (Decision Tree, Logistic Regression, KNN, Random Forest), and achieved highest accuracy of 73% using the Random Forest model.

Discovered patterns in the data by converting it into various graphical forms using Seaborn and Matplotlib.

ACT Scores Analysis – R

Fall 2020

Performed quantitative and qualitative analysis of the impact attendance and suspension rates have on the ACT scores of students from CPS high school using academic performance dataset.

Conducted multivariate linear regression to generate associations and evaluated how well data fits the model.

Examined the differences in average ACT scores and concluded that selective (about 58%) enrollment schools outperformed other types of school using ANOVA and Tukey tests.

Restaurant Profiling – SQL

Fall 2020

Retrieved restaurants’ data using SQL queries to find the correlation between the location of the business and its reviews and determined which restaurants were currently open/closed for business.

Transformed and integrated data from multiple tables to extract information about customer ratings.

Work Experience

Shell Pakistan Limited

May 2020 – Aug 2020

Data Analyst Intern

Karachi, Pakistan

Developed a 3-year rural area expansion model in Excel that aimed to increase yearly sales by 12%.

Analyzed procurement data to identify unnecessary cost and developed reports using Python and SQL.

Monitored geographical purchase trends and provided strategic insights using established KPIs.

Applied statistical techniques and quantitative analysis to validate data modeling and interpretations.

University of Illinois at Chicago

Jan 2020 – May 2021

Grader and Learning Assistant

Chicago, IL

Mentored students by providing weekly homework for Calculus that averaged 95% completion rate.

Assisted professor in grading weekly homework assignments and quizzes for Differential Equations.

University of Illinois at Chicago

Aug 2019 – May 2021

Peer Success Coach

Chicago, IL

Improved student success by conducting weekly workshops on time management and study skills.

Empowered students by identification of their goals and connecting them with campus resources.

Contact this candidate