Housing Price Prediction using Machine Learning
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Summary
Developed a machine learning model to predict housing prices, demonstrating proficiency in data preprocessing, model training, and performance evaluation.
About
Aspiring Data Scientist with a robust foundation in Python, machine learning, and data visualization, eager to apply analytical skills in an internship setting. Proven ability to translate complex data into actionable insights through hands-on projects, including developing regression models with 90% R2 scores and designing A/B tests to inform strategic decisions. Recently completed a Data Science diploma, demonstrating commitment to leveraging data for real-world problem-solving.
Work
Multichoice Nigeria
|Customer Service Representative
Ibadan, Oyo State, Nigeria
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Summary
Currently serving as a Customer Service Representative, leveraging data analysis to improve service delivery and enhance customer satisfaction for a leading entertainment provider.
Highlights
Analyzed customer issues and trend data, providing actionable insights to management that informed strategic solutions for service improvement.
Managed daily interactions with over 100 customers, consistently resolving complex inquiries and enhancing overall customer satisfaction through effective communication.
Utilized Excel for meticulous tracking of customer complaints and service resolution times, contributing to improved operational efficiency.
Developed strong interpersonal and problem-solving skills through direct customer engagement and data-driven issue resolution.
Education
Altschool Africa
Nigeria, Nigeria
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Diploma
Data Science
Federal University of Technology, Akure
Akure, Ondo State, Nigeria
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B.Tech
Urban and Regional Planning
Certificates
Python for Data Science
Issued By
Altschool Africa
Google Data Analytics Professional Certificate (In Progress)
Issued By
Coursera
Skills
Programming Languages
Python.
Data Analysis & Manipulation
Pandas, NumPy, SQL.
Data Visualization
Matplotlib, Seaborn, Tableau Public, Power BI.
Machine Learning
scikit-learn, Linear Regression, Random Forest.
Statistical Methods
A/B Testing, Hypothesis Testing, ANOVA, Chi-Square Test.
Development Tools
Jupyter Notebook.
Soft Skills
Problem Solving, Teamwork, Critical Thinking, Eagerness to Learn, Communication, Interpersonal Skills.
Projects
A/B Testing on Product Website
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Summary
Designed and executed an A/B test to evaluate the impact of a new ad layout on a product website's conversion rate, providing data-driven recommendations.