Hi, I'm a data analyst and front-end developer with two years of experience in data analysis and website development. I am excellent at turning numbers into insights to determine the best direction for the business while creating attractive and practical web solutions. As a Data Analyst by heart and profession, I extract information, value, and understanding from data and develop leading visuals for decision-making.Data AnalysisProgramming languages: Python -libraries (Pandas, NumPy, Matplotlib ), and SQL(MySQL, PostgreSQL).Tools: Jupyter Notebooks, Looker Studio, Tableau, Power BI, SPSS, STATA, and MS Excel .Skills: Data exploratory, cleaning data, statistics, Data visualization and correlation matrices.Front-end developmentProgramming languages: HTML, CSS, JavaScript.Frameworks: React, Bootstrap, and Spring bootResponsive Web Design, web hostingPortfolio Projects for data analysis1.Titanic Machine Learning from Disaster project The objective of the Titanic Machine Learning from Disaster project is to apply machine learning techniques to predict the survival of passengers aboard the RMS Titanic. This project, provides participants with a dataset containing information about passengers, such as age, sex, class, and other factors. The goal is to build a predictive model that, based on these features, can classify which passengers are likely to survive and which are not.The project helps develop skills in data cleaning, feature engineering, exploratory data analysis, and model evaluation.Link to the project https://www.kaggle.com/c/titanic/data2.Machine learning project is to predict whether a person makes over 50K a year or not given their demographic variationThe goal of this machine learning project is to predict whether a person makes over 50K a year or not given their demographic variation. To achieve this, several classification techniques are explored and the random forest model yields to the best prediction result.Link to the project https://www.kaggle.com/datasets/wenruliu/adult-income-datasetContactsEmail: oyogosamsongit@gmail.comPhone: +254705813062