Data Scientist | Data Analyst | ML Engineer
A passionate Data Scientist with expertise in Python, SQL, R, MATLAB,
Machine Learning, and Data Visualization.
Looking for collaborations
To visualize Stock Market Trends, World Happiness Report, Life Expectancy by Countries, & Electricity Prices by US States
View on GitHubUsing Python with Requests, and BeautifulSoup, I implemented a web scraping technique to extract data. The extracted data was processed and stored in an Excel file format.
View on GitHubI developed an SVM classifier using the Dijkstra's Algorithm and tested it on the UCI Breast Cancer dataset, achieving over 90% accuracy.
View on GitHubI built a Student Management System using Python with Tkinter for the graphical user interface and SQLite3 as the database.
View on GitHubI am Daniel Korley, a passionate and results-driven Data Scientist with a strong foundation in Machine Learning, Data Analysis, and Visualization. With expertise in Python, R, SQL, and MATLAB, I specialize in transforming complex datasets into actionable insights that drive informed decision-making.
My professional journey is built on a combination of technical proficiency and a keen analytical mindset. I have a proven track record of leveraging cutting-edge tools such as Scikit-learn, TensorFlow, and Jupyter Notebook to develop predictive models, optimize processes, and uncover trends that solve real-world challenges.
I thrive in collaborative environments where innovation meets problem-solving. My recent research explored the intersection of political preferences and societal trends, employing advanced machine learning techniques to uncover patterns in public sentiment. This work not only deepened my technical expertise but also honed my ability to communicate complex findings effectively.
I am committed to delivering impactful results with precision and creativity.