As a passionate data scientist, I am driven by a relentless curiosity and a passion for unraveling insights hidden within complex datasets. With a solid foundation in mathematics, statistics, and programming, I have honed my skills to tackle real-world challenges and derive actionable solutions. Committed to lifelong learning, I embrace new technologies and methodologies to stay at the forefront of data-driven innovation. My portfolio reflects the diverse projects I have undertaken, showcasing my ability to communicate complex findings in a compelling and accessible manner. I am eager to contribute my data-driven expertise to make a positive impact in the world.

1. Data Cleaning: Proficient in preparing and transforming raw data into a clean and usable format, ensuring data quality and accuracy for analysis.
2. Data Analysis: Experienced in applying statistical methods and machine learning techniques to extract valuable insights and patterns from diverse datasets.
3. Data Visualization: Skilled in creating compelling visual representations of data using charts, graphs, and interactive dashboards to facilitate data-driven decision-making.
4. Machine Learning: Developed a recommender system and a prediction project using machine learning algorithms.
5. Experience with large language models (LLMs) and AI models: Familiar with AI models like GPT 3.5 and their limitations, how they work, etc. Built a GPT-powered chatbot that takes orders from a fast-food restaurant and a GPT-powered exercise recommender.
6. Good communication skills: Able to write clear and precise prompts and effectively communicate instructions and requirements to the AI system.
7. Natural Language Processing (NLP): Built a sentiment analysis model using NLP techniques
8. Interactive Dashboard: Created an interactive dashboard that shows plastic bottle pollution across the globe.
9. Web Scraping: Scraped online marketplaces like Jumia Kenya to gather data for analysis.
10. Programming Languages: Proficient in Python, SQL, and other programming languages.