I am a data science graduate student with a strong foundation in programming,
data analysis, and machine learning. With a proven track record in leveraging data-driven insights
to optimize processes and solve complex problems, I excel at identifying opportunities for improvement
and driving impactful results. My professional experience includes developing predictive models, enhancing
decision-making through visualization tools, and streamlining workflows with automation. Passionate
about continuous learning and collaboration, I aim to create innovative solutions that improve
efficiency and foster growth.
Popular repositories Loading
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Optimizing-Credit-Card-Fraud-Detection
Optimizing-Credit-Card-Fraud-Detection PublicThis project detects credit card fraud using machine learning and deep learning models, including Random Forest, SVM, and Neural Networks, ensuring accurate classification and supporting fraud prev…
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Sentiment-Analysis-of-App-Reviews-using-DistilBERT
Sentiment-Analysis-of-App-Reviews-using-DistilBERT PublicThis project analyzes app reviews using sentiment classification powered by DistilBERT. It employs machine learning and natural language processing (NLP) techniques to determine sentiment as positi…
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Text-and-Sentiment-Analysis-of-Political-Rally-Speeches-
Text-and-Sentiment-Analysis-of-Political-Rally-Speeches- PublicThis project analyzes political rally speeches using natural language processing (NLP) and sentiment analysis. It identifies key topics, visualizes trends, and evaluates sentiments to gain insights…
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Spotify-Music-Popularity-Analysis
Spotify-Music-Popularity-Analysis PublicThis project analyzes Spotify music data to uncover trends, identify key features influencing track popularity, and predict future hit songs. It combines advanced statistical techniques, machine le…
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