Machine Learning and AI
From regression models to deep learning, I work with cutting-edge machine learning algorithms to solve real-world problems. Whether predicting customer behavior or automating processes, my ML models aim to add tangible value.
Hi there, My name is Kenneth. A Software Engineer focused on data science and engineering. With expertise in software engineering and data science, I create scalable solutions that empower businesses and users.
Hi, I'm Kenneth, a passionate Software Engineer with a strong focus on Data Science and Engineering. With a deep understanding of building data-driven solutions, I work at the intersection of cutting-edge technologies to solve complex problems and drive business impact.
I specialize in developing data pipelines, implementing machine learning models, and creating scalable applications. My experience includes working with technologies such as Python, SQL, Apache Spark, Airflow, Flask, Django, and React, and I enjoy leveraging the latest advancements in cloud computing and big data to deliver impactful results.
Whether it’s building automated data workflows, crafting full-stack web applications, or applying machine learning techniques to solve real-world problems, I thrive in fast-paced environments and love learning new tools and methods to improve the solutions I build.
I’m passionate about transforming raw data into actionable insights and creating software solutions that help organizations achieve their goals.
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From regression models to deep learning, I work with cutting-edge machine learning algorithms to solve real-world problems. Whether predicting customer behavior or automating processes, my ML models aim to add tangible value.
I apply advanced analytical techniques to extract valuable insights from complex data sets, helping businesses optimize operations, forecast trends, and make data-driven decisions. My approach combines statistical analysis, data visualization, and predictive modeling to uncover the stories behind the numbers.
Building robust data pipelines and scalable architectures is key to efficient data management. I specialize in designing, developing, and maintaining systems that ensure data is collected, processed, and delivered seamlessly, enabling teams to work with reliable, clean data.
Check out some of the projects I recently worked on. Use the buttons to toggle the different categories.
End-to-End Data Engineering project to develop a dashboard which showcases various metrics around the price paid data for various land and property transactions in England and Wales.
This project implements an Apache Airflow DAG that automates the analysis of stock data. The pipeline is designed to fetch stock prices for a given symbol, process and format the data, and finally load it into a data warehouse for further analysis. It leverages various Airflow operators and integrations including Python tasks, Docker containers, and Slack notifications.
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