Projects

Airline Reviews Sentiment Analysis

Conducted a comprehensive analysis of the airline industry, utilizing a large dataset to extract insights into passenger satisfaction across various flight-related aspects. Applied advanced sentiment analysis tools, including VADER and TextBlob, for a nuanced understanding of passenger experiences.

Autism Screening Prediction Model

Conducted a comprehensive analysis of autism screening data, utilizing a diverse dataset to identify key predictors of autism. Applied advanced machine learning models, including Multiple Linear Regression and k-Nearest Neighbors, achieving high accuracy and providing actionable insights for early diagnosis.

House Price Prediction, King county

Conducted a comprehensive analysis of housing data to predict prices using multiple regression models.

Absenteeism at Work

Predicted employee absenteeism using MLR, KNN, and CART. Identified top reasons (e.g., medical consultations) and age groups impacting absenteeism. Developed a regression tree model with 2.72 RMSE for precise predictions. Recommended HR strategies based on findings for improved employee well-being.

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MV Portfolio Optimization

Conducted a comprehensive analysis of stock trading data, optimizing a portfolio using Mean-Variance techniques. Applied statistical models to maximize returns and minimize risk, achieving a 38.39% ROI and outperforming the SP500 benchmark.