Hi, I'm Joseph Ushindi a data analyst with a passion for turning raw data into clear, actionable insights. With experience at Turing and certifications from IBM, I specialize in tools like Excel, SQL, Tableau, and Python. My work focuses on helping businesses make smarter decisions through data-driven solutions in areas like sales forecasting, automation, and performance tracking. I'm endlessly curious, always learning, and committed to using data to solve real-world problems.
I completed the IBM SkillsBuild Data Analytics course, where I gained practical, industry-ready skills across the full data analysis workflow. I learned how to collect, clean, and prepare datasets, analyze trends using Excel and Python, and create visual dashboards with tools like Tableau. The course strengthened my understanding of data storytelling, statistical thinking, and problem-solving, enabling me to turn raw data into meaningful insights that support smarter business decisions.
I am currently pursuing the Data Science program at ALX, where I am developing strong skills in data processing, exploratory data analysis, and advanced machine learning techniques. The program is equipping me with hands-on experience in building and evaluating predictive models, working with algorithms such as regression, classification, clustering, and decision trees. I am also strengthening my ability to prepare datasets, engineer meaningful features, and interpret model outputs to drive real-world insights. This training is shaping my ability to apply machine learning to solve practical problems and deliver data-driven solutions with confidence.
As a Research Analyst at Turing, I contribute to the development of advanced AI systems by supporting multiple projects within agile, cross-functional teams. I design and evaluate highly technical STEM-oriented prompts—especially those involving quantitative visualizations such as charts and analytical diagrams—to model realistic and challenging user interactions. My work involves constructing multi-step reasoning tasks that rigorously test large language models, diagnosing performance gaps, and refining prompts and outputs to improve precision and reliability. Through this role, I’ve strengthened my capabilities in data analysis, prompt engineering, and collaborative problem-solving within fast-evolving AI research environments.