Employing state-of-the-art techniques, I leveraged Support Vector Machines (SVM) and K-Nearest Neighbors (KNN)
algorithms to predict an individual's risk of a heart attack. By meticulously analyzing lifestyle and health factors of an individual, I crafted a robust predictive model that not only showcases the power of machine learning but also underscores my expertise in utilizing advanced algorithms for real-world, life-saving applications. This project not only demonstrates my proficiency in data science but also my commitment to addressing critical healthcare challenges through innovative and impactful solutions.
In a meticulous data refinement endeavor, I employed Power BI to perform comprehensive data cleaning using the expressive M language. The project focused on transforming a raw Superstore sales dataset into a streamlined and efficient form. Leveraging Power BI's capabilities, I crafted a robust Star Schema model, optimizing the dataset for enhanced analytical capabilities. Through the strategic application of Data Analysis Expressions (DAX), I generated dynamic visualizations that provided meaningful insights into the Superstore sales trends. This proficiency in data preparation, modeling, and visualization exemplifies my commitment to delivering actionable intelligence through advanced analytics.
In the realm of climatic exploration, I embarked on a data-driven journey to decipher historical weather patterns using Python and SQLite. Delving into a curated dataset encompassing temperature records from diverse cities and countries, the project aimed at extracting valuable insights. With a focus on meticulous data exploration, I navigated the intricacies of the SQL database, employing Python as the key orchestrator. The objective was to uncover nuanced trends and patterns within the historical weather data, shedding light on the dynamic interplay of temperature variations across selected regions. This venture showcases my proficiency in leveraging programming tools for in-depth analysis and interpretation of weather data.