feranmiabiodun

Profile picture of Feranmi Abiodun Adeagbo

About Feranmi Abiodun Adeagbo

I am a Data Scientist/Analyst with a diverse background, transitioning from the world of arts and entertainment to the realm of data science and analysis. My passion lies in data, AI, and solving complex problems. I am dedicated to collaborating and making a significant impact in the field of data science.

Projects by Feranmi Abiodun Adeagbo

The “Hybrid Credit” project aimed to pioneer financial inclusion for immigrants in the UK. The project’s objective was to build a machine learning model capable of creating foundational credit scores, assessing creditworthiness, and generating detailed reports by analyzing immigrants’ foreign financial history.

The ‘LLM for Marketing Content’ project is dedicated to building a marketing dashboard capable of evaluating and refining marketing content using LLM to tailor it to specific user personas.

The “Spain Electricity Shortfall Challenge” project is dedicated to analyzing energy generation patterns in Spain, focusing on renewable and fossil fuel sources. Our primary objective is to develop a precise machine learning model that predicts energy demand shortfalls, providing crucial insights for Spain’s renewable energy investments.

The “Employee Absenteeism Analysis” project revolves around studying employee absenteeism patterns to enhance workplace productivity and attendance. Our core aim is to identify key factors contributing to absenteeism and provide actionable recommendations for improved workforce management.

The “Movie Recommender System” project focuses on developing a recommendation engine capable of suggesting movies to users based on their preferences and viewing history. The primary objective is to enhance user engagement and satisfaction by delivering personalized movie recommendations, thus improving the overall user experience.

The “Supply Chain Logistics Optimization” project is dedicated to unraveling the complexities of supply chain logistics using advanced SQL query writing. It aims to provide valuable insights, enabling data-driven strategies to enhance supply chain efficiency and decision-making. The project’s core objective is to optimize supply chain operations and adapt to market changes while reducing costs and improving customer satisfaction.

The “Climate Change Sentiment Classification” project’s primary objective is to create a machine learning model that classifies people’s beliefs in climate change based on their tweets. This model enables businesses to gain insights into public perceptions of climate change, allowing them to tailor their marketing strategies to their target audience’s values and beliefs.

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I’m passionate about using data and AI to make a difference. Let’s connect and explore the endless possibilities of data science together!