I am currently pursuing a degree in Data Science, with an aspiration to be a Data Scientist, enthusiastic about creating AI solutions and ML-driven applications. My domain of expertise is in Python, Machine Learning, and Deep Learning, with practical exposure to TensorFlow, Keras, Scikit-learn, Pandas, Numpy, along with Matplotlib, Seaborn, and Plotly libraries for data visualization.
I possess a good background in Probability, Statistics, and Linear Algebra, in addition to a well-rounded knowledge base in Data Structures & Algorithms, OOP, SQL, C/C++, and Excel. I am a perpetual learner, trying to hone my skills to design effective solutions with a focus on data.
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ResuScore
ResuScore PublicAn AI-powered ATS system using Sentence Transformers and Plotly for semantic resume matching and skill gap analysis.
Jupyter Notebook
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Heart-Disease-Risk-Prediction
Heart-Disease-Risk-Prediction PublicEnd-to-end heart disease risk prediction system using ML and Streamlit
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ReviewLens
ReviewLens PublicA hybrid AI-powered web application designed to detect deceptive hotel reviews using a combination of Semantic NLP (TF-IDF) and Stylometric Analysis.
Jupyter Notebook
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