I am a professional Python developer, data scientist, and software engineer with over 4 years of experience. Specializing in building efficient, scalable solutions, I offer expertise in data analysis, machine learning, AI, automation, and bot development. Whether you're looking to develop custom software, automate tasks, or build intelligent systems, I deliver high-quality work tailored to your specific needs. Let's collaborate to turn your ideas into reality with clean, reliable, and well-optimized code.…

kingsley rhema

I am a professional Python developer, data scientist, and software engineer with over 4 years of experience. Specializing in building efficient, scalable solutions, I offer expertise in data analysis, machine learning, AI, automation, and bot development. Whether you're looking to develop custom software, automate tasks, or build intelligent systems, I deliver high-quality work tailored to your specific needs. Let's collaborate to turn your ideas into reality with clean, reliable, and well-optimized code.…

Available to hire

I am a professional Python developer, data scientist, and software engineer with over 4 years of experience. Specializing in building efficient, scalable solutions, I offer expertise in data analysis, machine learning, AI, automation, and bot development. Whether you’re looking to develop custom software, automate tasks, or build intelligent systems, I deliver high-quality work tailored to your specific needs. Let’s collaborate to turn your ideas into reality with clean, reliable, and well-optimized code.

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Language

English
Fluent

Work Experience

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Education

bachelor of science at University of Ibadan
December 22, 2023 - December 22, 2024

Qualifications

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Industry Experience

Software & Internet, Gaming, Transportation & Logistics
    paper Predictive Modelling an Advanced data analysis on hotel pricing data

    This project analyzes hotel pricing data from London City and Covent Garden hotels to estimate occupancy rates and price differentials. Using prices recorded 30 days prior to each stay date, occupancy is estimated based on price ranges—lower prices indicating higher occupancy and vice versa. A price comparison between Travelodge Covent Garden and other hotels is then calculated for stay dates with equal occupancy. The results, including average price differentials, are obtained using machine learning models like XGBoost for accurate prediction.