I am enthusiastic about applying analytical and machine-learning techniques to solve complex problems and extract valuable insights from data. With a strong foundation in programming and a keen interest in data-driven decision-making.
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YouTube-Data-Harvesting-and-Warehousing
YouTube-Data-Harvesting-and-Warehousing PublicThe project utilizes SQL, MongoDB, and Streamlit to create a user-friendly application that allows users to retrieve, store, and query YouTube channel and video data.
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Credit-Card-Default-Prediction
Credit-Card-Default-Prediction PublicThis project involved data preprocessing, model building, and deployment of a machine learning model to predict credit card default.
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Sentiment-Analysis-using-BERT-Embeddings
Sentiment-Analysis-using-BERT-Embeddings PublicThis Project provides an in-depth analysis of the sentiment analysis that leverages BERT embeddings.
Jupyter Notebook 3
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Proactive-Fraud-Detection
Proactive-Fraud-Detection PublicThe goal is to develop a model that can accurately identify fraudulent transactions and provide insights for developing an actionable plan.
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IMDB-Reviews-Sentiment-Analysis-with-LSTM
IMDB-Reviews-Sentiment-Analysis-with-LSTM PublicThe dataset used in this project consists of 50,000 IMDB movie reviews, evenly split into 25k reviews for training and 25k for testing. Each review is labeled as either positive or negative.
Jupyter Notebook
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Cancer-Classification-with-Neural-Network
Cancer-Classification-with-Neural-Network PublicImplement the project using Python and deep learning frameworks such as TensorFlow/Keras. Utilize libraries like pandas for data manipulation, scikit-learn for data preprocessing and evaluation, an…
Jupyter Notebook
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