Bakht Zamin (Sameer)

1 Business Operation Manager(BOM) Professional Freelancer AI & Data Science services Project March 04, 2024 Comprehensive Data Analysis pe r Project Overview: The aim was to conduct comprehensive data analysis tasks on different datasets, including the Titanic, Netflix, and Melbourne Housing Market datasets. These tasks involved visualizing correlations within each dataset. My Role: ev el o relationships between variables, understanding data distribution, and analyzing trends and BO M AI D I performed data analysis, involving data visualization, statistical analysis, and trend identification across multiple datasets to uncover insights and relationships within the data. Process: ❖ Titanic Dataset Analysis: ➢ Visualized relationships using pairplots and heatmaps to understand correlations between variables. ➢ Identified pairs of variables with the highest and lowest correlation coefficients. ❖ Netflix Dataset Analysis: ➢ Examined the distribution of movies versus TV shows, identified top content-producing countries, and 2 analyzed trends in release years and genres. ➢ Utilized count plots and bar charts to display the distribution of content and genre popularity. ❖ Melbourne Housing Market Analysis: ➢ Analyzed housing price trends over time, the impact of location on prices, and the relationship between property attributes and price. ➢ Employed line plots, box plots, and scatter plots to visualize trends and pe r correlations in the housing data. ev el o Outcome: Through detailed data analysis, I gained insights into various sectors, including entertainment and real estate. For instance, the Titanic dataset revealed key survival factors, Netflix data highlighted content trends, and the Melbourne Housing dataset uncovered the factors influencing housing prices. BO M AI D approach and use of statistical tools demonstrated a robust capacity to understand and interpret data, providing valuable insights for strategic decision-making. AI D ev el o pe r 3 Value Brought to the Project: BO M This assignment showcased my ability to handle diverse datasets, apply appropriate data visualization techniques, and derive meaningful insights from complex data. My analytical