A Data Analyst adept in Python, SQL, Machine Learning, Power BI, and Ms Excel. He is impact-driven and has passion for excellence. Refer to his profile godwin-festus on linkedin.
This project zeroes in on optimizing machine learning algorithms for predicting motor insurance claims. Leveraging historical data on claim specifics and policy holder demographics, the project involves training and testing diverse algorithms to determine the most effective algorithm for predicting annual Motor Insurance Claims.
Developing a movie recommender system utilizing the MovieLens dataset, which involves analyzing user preferences and behaviors to provide personalized movie suggestions. The system employs collaborative filtering techniques and leverages the extensive MovieLens dataset to enhance accuracy and recommendation relevance.
Deploying the Movie Recommender system on AWS Cloud for efficient and scalable movie recommendations. This deployment leverages AWS services to ensure high availability, optimal performance, and seamless user experience. Users can now enjoy personalized movie suggestions based on advanced algorithms, all backed by the reliability and flexibility of AWS infrastructure.
Conducting a comprehensive analysis of public sentiment to discern whether a given tweet expresses support for, opposition against, or neutrality towards the impact of climate change.
Implementing the cloud deployment of a web application designed for a sentiment analysis model focused on Twitter tweets.
A deep dive into the analysis of power distribution and demography data of Eskom Power Company to identify trends, patterns and other useful insights.
A deep dive into the analysis of the sales data of company XYZ to identify trends, patterns and other useful insights
A deep dive into the exploratory analysis of the impact of the corona virus alias covid19 on the economy of Nigeria.
Exploratory analysis of the sales data of a super store using Ms Excel and Power BI