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arpitkumar2004/README.md

Hi 👋, I'm Arpit Kumar

I am a data science enthusiast with a strong foundation in Machine learning, AI, and quantitative research. I am pursuing a dual degree course with a minor in Machine Learning and AI at IIT Kharagpur. My passion lies in building data-driven solutions and integrating AI models into real-world applications.

My Portfolio Website

🛠️ Skills & Tools

Skills Icons

🔹 Machine Learning & AI

  • Supervised & Unsupervised Learning (Regression, Classification, Clustering)
  • Deep Learning (CNNs, RNNs, Transformers)
  • Feature Engineering (PCA, t-SNE, Autoencoders)
  • Model Optimization (Hyperparameter Tuning, Bayesian Optimization)

🔹 Data Science & Analytics

  • Statistical Modeling, Hypothesis Testing, A/B Testing
  • Time-Series Forecasting (ARIMA, LSTMs, Prophet)
  • Anomaly Detection, Outlier Analysis, Bayesian Inference
  • Data Wrangling & Feature Extraction

🔹 Tools & Frameworks

  • Programming: Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, OpenCV)
  • Databases: SQL (PostgreSQL, MySQL)
  • DevOps & Deployment: Git, Docker
  • Visualization: Streamlit, Power BI, Tableau, Matplotlib, Seaborn, Plotly Dash
  • API Development: Flask, FastAPI

🔹 Software Engineering & Deployment

  • MLOps (Model Deployment, CI/CD, Docker)
  • API Development for ML Models
  • Serverless Computing (AWS Lambda, Google Cloud Functions)

🌍 Let’s Connect!


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  1. Text-Summarizer-Project Text-Summarizer-Project Public

    This project is an end-to-end deep learning-based text summarization system designed to automatically generate concise and informative summaries from large volumes of textual data.

    Jupyter Notebook 1

  2. Assigmnet-PMS Assigmnet-PMS Public

    Course: Process Modeling and Simulation (CH62003) -- Prof. Sourav Modal, Prof. Abhishek Kumar Gupta -- IIT Kharagpur

    Jupyter Notebook 1

  3. AI_Information_Retrieval_Agent AI_Information_Retrieval_Agent Public

    This project is an automated system designed to extract essential information from websites, format the data, and query a large language model (LLM) to provide concise and fact-based responses

    Python 1

  4. CAPE-Laboratory-Simulations CAPE-Laboratory-Simulations Public

    CAPE-Laboratory-Simulations

    1

  5. DA96_webapp DA96_webapp Public

    Predicting risk factors by Determining Social Determinants of Health variables using a probabilistic model.

    Python 1

  6. data_science-portfolio-website-final data_science-portfolio-website-final Public

    TypeScript 1