Stanley Otieno

I am a skilled data engineer with expertise in machine learning, deep learning, TensorFlow, PyTorch, ETL, and visualization tools such as Power BI. With a strong foundation in data engineering, I have the ability to design, develop, and maintain the infrastructure necessary for efficient data storage, processing, and analysis.

My experience in machine learning and deep learning allows me to apply advanced techniques to develop models that can learn from data and make accurate predictions or decisions. I am well-versed in various algorithms such as Decision Trees, Naive Bayes, SVM, RF, and KNN, and I have hands-on experience working with frameworks like TensorFlow and PyTorch, which are widely recognized in the field of deep learning.

In addition to my machine learning expertise, I have a solid understanding of ETL processes. Extracting data from diverse sources, transforming it into a consistent format, and loading it into a target system are tasks that I am proficient in. I recognize the importance of data quality and consistency in enabling effective data analysis and decision-making.

When it comes to data visualization, I have a keen eye for creating impactful and insightful visual representations. I am highly skilled in utilizing Power BI, a powerful business intelligence tool, to develop interactive dashboards, reports, and visualizations. With Power BI, I can effectively communicate complex data insights to stakeholders and decision-makers, enabling them to gain valuable insights and make informed decisions.

I have about 3 years experience with machine learning and deep learning models and similar levels of expertise with database management systems

I have a masters degree in ICT from Marwadi University