Time Series Energy Demand Forecasting

Conducted in-depth analysis to understand how daily energy consumption trends vary with seasons. Successfully derived new attributes through feature engineering, optimizing the dataset for modeling and improving the accuracy of the predictive algorithms with PCA for dimensionality reduction.

Classification of Myocardial Infarction

Leveraged descriptive statistics and impactful visualizations to provide actionable insights to stakeholders using Tableau. •Implemented diverse machine learning algorithms, including Linear Regression, Regularized Linear Regression, De- cision Tree, and Ensemble of Random Forests.

Resume Classification using Natural Language Processing

Executed detailed EDA on a text dataset, extracting valuable insights to inform subsequent processing. •Implemented state-of-the-art data cleaning techniques using NLTK and Spacy, ensuring the dataset’s quality and co- herence. •Applied advanced NLP techniques for a seamless transition from raw text