I'm a dedicated data scientist with experience transforming data into actionable
insights using tools such Python, SQL, Power BI, MS Excel, AWS,and MS Azure.
Below are my projects.
In this project, I trained multiple regression models to predict salaries based on factors such as designation, ratings, and tenure. After selecting the best-performing model, I deployed it using Flask, enabling real-time salary predictions through a web interface.
In this project, I developed a fraud detection model by training multiple classification methods on a dataset containing transactional data. By evaluating various algorithms, I identified the most effective model for accurately detecting fraudulent activities.
In this project, I developed a movie recommendation system to suggest films based on user preferences and viewing history. Utilizing collaborative filtering and content-based filtering techniques, I created a model that personalizes recommendations for users.
In this project, I conducted A/B testing to optimize a key performance metric for a product or service. By designing and implementing controlled experiments, I compared the performance of different variations to determine the most effective approach.
In this project, I created interactive dashboards using Power BI to analyze Speldor Hotel bookings. I performed exploratory data analysis (EDA) to uncover initial insights and trends, followed by the development of comprehensive dashboards that visualize booking patterns and key metrics.
In this project, I conducted an analysis of airplane crashes using Power BI. After cleaning the data to ensure accuracy, I performed a detailed analysis to uncover trends and insights. Based on my findings, I developed interactive dashboards and provided recommendations to improve aviation safety.
In this project, I conducted a comprehensive analysis of game data using MySQL. I queried and analyzed the data to identify patterns and trends in player behavior, game performance, and user engagement.
In this project, I analyzed data for the Maji Ndogo town water project using SQL and Power BI. I managed and queried the database with MySQL to assess water usage and distribution efficiency. Following this, I utilized Power BI to create interactive dashboards that visualize the findings and provide actionable insights.
