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Hello everyone! Iโm Grace Egbe, a passionate Data Analyst with expertise in Python, SQL, Tableau, and Machine Learning. I specialize in data-driven decision-making, business intelligence, and visualization.
I recently created a GitHub Portfolio showcasing my work in E-commerce, Sustainability, and Predictive Analytics, and Iโd love to get feedback, suggestions, and collaboration opportunities from the data community! ๐
๐ Objective: Predicting customer churn using machine learning models.
๐ Tech Stack: Python, Scikit-learn, Logistic Regression, Random Forest
๐ Insights:
โ๏ธ Monthly subscription users are more likely to churn.
โ๏ธ Payment method and customer service interactions impact churn rates.
โ๏ธ Data-driven customer retention strategies suggested.
๐ View Project
๐ข Looking for Feedback & Suggestions!
Iโd love to hear your thoughts on:
โ How can I improve my portfolio for job applications?
โ What additional projects would make my profile stand out?
โ Are there any new datasets or case studies you recommend analyzing?
โ Would you be interested in collaborating on future projects?
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๐ Introduction
Hello everyone! Iโm Grace Egbe, a passionate Data Analyst with expertise in Python, SQL, Tableau, and Machine Learning. I specialize in data-driven decision-making, business intelligence, and visualization.
I recently created a GitHub Portfolio showcasing my work in E-commerce, Sustainability, and Predictive Analytics, and Iโd love to get feedback, suggestions, and collaboration opportunities from the data community! ๐
๐ My GitHub Portfolio Discussion: View My Portfolio
๐ Featured Projects
1๏ธโฃ Air Quality & Health Impact Analysis ๐๐จ
๐ Objective: Understanding how air pollution (PM2.5, NOโ) impacts respiratory diseases.
๐ Tech Stack: Python, Pandas, Seaborn, Tableau
๐ Insights:
โ๏ธ High PM2.5 levels correlate with increased respiratory disease cases.
โ๏ธ Seasonal patterns show worsening air quality in winter.
โ๏ธ Policy recommendations for improving urban sustainability.
๐ View Project
2๏ธโฃ E-commerce Customer Analytics ๐๐
๐ Objective: Understanding customer behavior to improve sales & retention strategies.
๐ Tech Stack: Python, SQL, Tableau
๐ Insights:
โ๏ธ Returning customers contribute 60%+ of total revenue.
โ๏ธ High-value customers prefer specific product categories.
โ๏ธ Personalized marketing strategies increase retention.
๐ View Project
3๏ธโฃ Customer Churn Prediction ๐ฎ๐
๐ Objective: Predicting customer churn using machine learning models.
๐ Tech Stack: Python, Scikit-learn, Logistic Regression, Random Forest
๐ Insights:
โ๏ธ Monthly subscription users are more likely to churn.
โ๏ธ Payment method and customer service interactions impact churn rates.
โ๏ธ Data-driven customer retention strategies suggested.
๐ View Project
๐ข Looking for Feedback & Suggestions!
Iโd love to hear your thoughts on:
โ How can I improve my portfolio for job applications?
โ What additional projects would make my profile stand out?
โ Are there any new datasets or case studies you recommend analyzing?
โ Would you be interested in collaborating on future projects?
Letโs connect and learn from each other! ๐
๐ก Connect With Me
๐ Portfolio: https://egbe34.github.io/portfolio/
๐ Kaggle: https://www.kaggle.com/graceegbe12
๐ผ LinkedIn: (https://www.linkedin.com/in/grace-egbe-77820b278/)
๐ง Email: (graceegbe3@gmail.com)
I appreciate any feedback and suggestions! Thanks in advance! ๐๐ฅ
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