Stock market trend prediction
Technologies: Python, Pandas, NumPy, scikit-learn, TensorFlow, LSTM neural networks, Matplotlib, Jupyter Notebook
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Developed a predictive model to analyze and forecast stock market trends using historical financial data and machine learning algorithms
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Implemented data preprocessing, feature engineering, and time series analysis to improve prediction accuracy and model robustness
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Collaborated in the full project lifecycle from data collection to model validation, achieving a proof-of-concept with potential to assist investment decision-making
Grammatical Metaphor Detection
Technologies: Python, TensorFlow, Keras, Natural Language Processing (NLP), Deep Learning, Data Annotation, Literature Review
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Conducted comprehensive literature review to analyze existing approaches for detecting Grammatical Metaphor (GM), identifying limitations in current methods
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Designed and implemented deep learning models using Python and TensorFlow to accurately detect GM instances in natural language text, improving detection precision and recall
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Collaborated in data collection and preprocessing to build a high-quality annotated dataset, enabling effective model training and evaluation
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Delivered detailed survey report and performance analysis demonstrating model effectiveness, contributing to advancing automated linguistic phenomenon detection
drivers of unemployment in Canada
Technologies: R, Survey Package in R, Logistic Regression, Weighted Descriptive Statistics, Chi-square Tests, Statistics Canada Labour Force Survey Data
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Conducted comprehensive analysis of unemployment drivers in Canada using Statistics Canada’s Labour Force Survey data, addressing key demographic and economic factors impacting employment outcomes
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Applied design-based statistical methods including weighted descriptive analysis, logistic regression modeling, and chi-square hypothesis testing to ensure accurate representation and robust inference
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Implemented survey weighting, sampling design considerations, and nonresponse adjustments to improve estimate precision and support evidence-based policy recommendations on labour market equity and participation