Emmanuel Olorunda

Highly motivated and results-driven individual with hands-on experience in data analysis and machine learning. Proven expertise in building recommendation systems, specializing in collaborative filtering and matrix factorization techniques. Proficient in Python, leveraging libraries such as NumPy, Pandas, and Scikit-learn for data manipulation and model development. Strong background in data preprocessing, exploratory data analysis, and optimization of recommendation algorithms. Effective communicator with excellent documentation and presentation skills. Adept at translating complex technical concepts into clear and actionable insights. Demonstrated ability to work collaboratively in dynamic team environments. Keen problem-solving and critical-thinking skills with a passion for continuous learning and staying abreast of industry trends. Seeking opportunities to contribute technical expertise and analytical skills to innovative projects in data science and machine learning.