Carla A. Rudder, PMP
Data-driven professional with a strong mathematics, statistics, data analysis, and education background. I use data to find patterns and insights, drive innovation, and create meaningful change.
Technical Skills: Excel, SQL, Python, R, PowerBI, Tableau, and Certified Scrum Master
Applied Data Science & ML - MIT
BSc Applied Mathematics
MSc Mathematics Ed (Financial Math)
Ph.D. Mathematics Ed (Problem-Solving)
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Resume
Portfolio
Food Delivery Service Business Analysis
Data Analysis for Business Recommendations
- Python is used to analyze and visualize data to make business recommendations
- Python Libraries: Pandas, Numpy, Matplotlib, Seaborn
Objective
- Perform data analysis to find insights and make recommendations on what will help the company to improve the business.
FoodHub (Markdown_File)
FoodHub Presentation
FoodHub Jupyter Notebook
Practical Data Science - Machine Learning Models
Customer Prediction
Decision Tree and Random Forest for Business Recommendations
- Python is used to analyze, visualize, and build a model to predict potential customers
- Python Libraries: Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn
Objective
- Analyze and build an ML model to help identify which leads are more likely to convert to paid customers,
- Find the factors driving the lead conversion process
- Create a profile of the leads who are likely to convert
ExtraaLearn (Markdown_File)
ExtraaLearn Jupyter Notebook
Practical Data Science 2 - Machine Learning Models
Customer Loan Default Prediction
Decision Tree and Random Forest for Business Recommendations
- Python is used to analyze, visualize, and build a model to predict potential customers
- Python Libraries: Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn
Objective
- Analyze and build a classification model to predict clients who are likely to default on their loan
- Identify important features to consider while approving a loan.
- Give recommendations to the bank on the profile of the persons who are likely to default on their loan
Customer Loan Default Prediction (Markdown_File)
Customer Loan Default Prediction Presentation
Customer Loan Default Prediction Jupyter Notebook
Qualitative Research - Writing Sample
5 Country Survey for Upper Primary Mathematics (Grades 4 - 6)
- Researched the upper primary mathematics education system in 5 countries: Kenya, Tanzania, Uganda, Indonesia, and Pakistan
- Qualitative analysis by retrieving and aggregating data from over 75 sources and compiling it into a digestible and actionable format
Objective
- The focus of the study was to investigate the following areas:
- Existing teaching and learning standards, materials, and national policies;
- Exploration and analysis of the pedagogical quality of existing materials, performance standards, and national policies;
- Analysis of gaps in both core and supplemental materials; and
- Recommendations for addressing the needs in upper primary mathematics including pedagogical
and curricular needs.
Quantitative and Qualitative Research - Survey
Survey Analysis Report- Upper Primary
- Created a survey to gather insights from 121 teachers
- One hundred and twenty-one teachers participated in piloting the survey of 50
questions, consisting of three types of questions: closed, free response, and problem-solving.
Analysis Tools
- Excel
- XLStat
Objective
The purpose of the study was to investigate:
- What are teacher beliefs regarding the nature of mathematics?
- What is their pedagogical knowledge of teaching English learners?
- What are their beliefs regarding teaching math to English learners?
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