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Ankush-22/ReadMe.md

πŸ’« About Me:

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.

🌐 Socials:

LinkedIn email

πŸ’» Tech Stack:

C C++ CSS3 HTML5 JavaScript LaTeX Python AWS Netlify Render Vercel Flask Keras Matplotlib NumPy Pandas Plotly scikit-learn Scipy TensorFlow Streamlit MySQL Git GitHub

πŸ“Š GitHub Stats:



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  1. ResuScore ResuScore Public

    An AI-powered ATS system using Sentence Transformers and Plotly for semantic resume matching and skill gap analysis.

    Jupyter Notebook

  2. Heart-Disease-Risk-Prediction Heart-Disease-Risk-Prediction Public

    End-to-end heart disease risk prediction system using ML and Streamlit

    Jupyter Notebook

  3. ReviewLens ReviewLens Public

    A hybrid AI-powered web application designed to detect deceptive hotel reviews using a combination of Semantic NLP (TF-IDF) and Stylometric Analysis.

    Jupyter Notebook