A dedicated and detail-focused Bi Developer with a passion for Big Data and a keen interest in statistics. Experienced in transforming large datasets into actionable insights using Python, creating, training, and deploying predictive models, and deriving valuable conclusions from complex data. Proficient in implementing diverse data structures tailored for various databases. Possessing a strong foundation in statistical methods, econometrics modeling, and data management, I am committed to driving informed decision-making and enhancing business performance. Knowledgeable in data warehousing, process validation, and business needs analysis, with a proven ability to understand customer requirements and translate them into actionable project plans.
Conducted extensive data analysis on various ad-hoc projects, analyzing trends using Python and SQL.
Developed interactive dashboards with Tableau, Dash, Plotly, to visualize key performance indicators and trends.
Conducted Exploratory Data Analysis (EDA) with Pandas and Seaborn to identify key trends and relationships.
Built predictive models using linear and ridge regression with Scikit-Learn, achieving high accuracy in forecasts.
Created visualizations using Matplotlib and Plotly to communicate findings effectively.
Python
Oracle Cloud Infrastructure
Oracle Cloud Infrastructure
Datawarehouse and Business Intelligence (Kenya School of Revenue Authority)