Data Analyst
ClassificationAs a Data Analyst, I worked on analyzing machine learning training data to uncover relationships between salary and other factors such as age, education, marital status, and health level. I utilized Python tools, particularly pandas and Matplotlib, for data preprocessing and visualization, and independently designed a neural network model to optimize performance metrics. My work involved applying principal component analysis to reduce dimensionality and improve the neural network's efficiency and accuracy. • Conducted data classification, preprocessing, and conversion of categorical variables to dummy variables for neural network input. • Visualized data distributions, variances, and principal components with Matplotlib for interpretation and result presentation. • Built a custom four-layer neural network model using ReLU and linear activation functions for regression tasks. • Optimized the model with stochastic gradient descent, fine-tuning learning rates to avoid local minima and improve mean square error.