Machine Learning Data Science

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Zahra Alahmedi

Rochester Hills, MI 313-***-**** *.*.******@*****.*** LinkedIn

PROFESSIONAL SUMMARY

Strategic, analytical, and forward-thinking data science graduate student who brings a solid foundation in mathematics, analytics, and education. Showcases project strengths in utilizing statistical modeling, machine learning, and data visualization to extract insights that support guided decision-making across a variety of industries. Highly experienced in using Python, R, SQL, and Power BI to lead analytical projects, while continually expanding knowledge to drive innovation across software team environments. TECHNICAL SKILLS

● Programming Languages & BI Tools: Python, R, SQL, Excel, Power BI, Tableau

● Libraries & Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib, Seaborn, Plotly, XGBoost, LightGBM, PyTorch

● Techniques: Data Cleaning, Machine Learning, Deep Learning, Predictive Modeling, A/B Testing, Time Series

● Math & Stats: Probability, Linear Algebra, Optimization, Bayesian Inference

● Project Management: Agile, Jira, Data Storytelling, Report Writing EDUCATION

Kettering University Flint, MI Expected Graduation: June 2025 Master of Applied Data Science and Data Analysis

Al-Mergib University Tarhuna, Libya Graduated: Dec 2008 Master of Science in Mathematics (ECE equivalent to a U.S. Master of Science in Mathematics) (Highest Honors, GPA: 3.9) Al-Mergib University Tarhuna, Libya Graduated: May 2001 Bachelor of Science in Mathematics (ECE equivalent to a U.S. Bachelor of Science in Mathematics) (Highest Honors, GPA: 3.77) ACADEMIC RESEARCH & PROJECTS

E-commerce Business Setup

● Led the planning of a mock e-commerce business, tasked with establishing the project scope, conducting a financial feasibility study, identifying potential risks, and managing quality aspects across all phases of development

● Partnered with team members to align on goals, implement achievable timelines, and simulate scenarios within an online retail environment

Greenhouse Gas Emissions Analysis

● Utilized EPA datasets and statistical analysis to identify trends in greenhouse gas emissions over time and across regions

● Developed visual representations and data models to present findings in a format that supported interpretation by non- technical audiences

Data Science Salaries Analysis

● Conducted an international salary study for data science roles using Python, encompassing performing data cleaning and exploratory analysis to detect patterns across geographic and professional variables

● Created visualizations to illustrate compensation variations and insights for tech industry individuals and employers Search Engine Development

● Designed a graphical user interface (GUI) search engine using Python and Tkinter to index and retrieve content from the

‘Marx & Engels Collected Works’

● Developed the search engine to focus on functionality and usability by optimizing text parsing and improving the responsiveness of search queries within large volumes of data Income Inequality Analysis

● Investigated disparities in income levels across countries and regions using publicly available global datasets through the use of statistical methods to quantify inequality

● Built dashboards that communicated economic divide and social implications in a way that encouraged deeper analysis Electrical Grid Stability Classification

● Developed classification models using machine learning to evaluate the stability status of electrical grids under various operational conditions

● Diligently trained and tested models on real-world datasets to provide information that could support power system operations and reliability assessments

Car Price Prediction Model

● Built a predictive model using regression techniques to estimate car prices based on factors such as brand, engine power, and physical specifications

● Optimized the model by analyzing feature importance and performance metrics, resulting in improving prediction accuracy for different car segments

Boston Housing Data Analysis

● Conducted a data-driven study using R to examine the variables influencing housing prices in the Boston area, with an emphasis on assessing neighborhood attributes and socioeconomic indicators

● Utilized multiple regression models and data visualization tools to identify which features had the strongest impact on property values and prepared reporting for congestible insights TEACHING EXPERIENCE

Industry Specific Solutions Southfield, MI Mar 2021 – June 2023 Full-Time Teacher (Long-Term Contract at Flex High School of Pontiac – Pontiac, MI)

● Delivered classroom instruction across multiple academic subjects while adapting teaching strategies to meet the learning styles and needs of high school students

● Provided consistent academic advising and support to help students stay on track toward graduation and educational goals

● Assisted students in navigating academic challenges by offering support services and interventions to promote their success, learning comprehension, and personal growth

● Awarded the Sub Teacher Source Sub Spotlight teacher for the month of April 2022

● Received a certificate of excellence from STS (Sub Teacher Source) in June 2021 in honor of outstanding performance College of Civil Aviation Technology and Meteorology Espiaa, Libya Sept 2009 – May 2011 Full-Time Lecturer

● Taught undergraduate-level courses including Calculus I and II, Introduction to Physics, Linear Algebra, and Complex Analysis, with a focus on developing students’ problem solving and analytical skills

● Advised students on academic pathways and career opportunities aimed at supporting their growth through mentoring and guidance outside the classroom

● Conducted tutoring sessions and academic counseling to help students grasp concepts and prepare for assessments

● Participated in curriculum planning to enhance the structure and delivery of technical courses within the mathematics and physics departments

Higher Institute of Science and Technology Qaser Bin Ghashir, Libya Sept 2010 – May 2011 Adjunct Lecturer

● Led instruction for Calculus I and II by creating engaging lesson plans that supported student conceptual understanding

● Managed all aspects of assessment including exam creation, grading, and providing constructive feedback

● Facilitated classroom discussions and encouraged collaborative learning among students to build mathematical reasoning Faculty of Science Gheryan Gheryan, Libya Sept 2009 – Sept 2010 Adjunct Lecturer

● Delivered lectures in Partial Differential Equations, Linear Abstract Algebra, and Complex Analysis, consisting of creating instructional materials and visual aids to explain abstract concept

● Guided students through coursework, answered questions, and provided support to help them meet course objectives

● Contributed to departmental teaching goals by maintaining high standards of student academic performance ADDITIONAL INFORMATION

● U.S. Citizen

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