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  • University of Bonn
  • Bonn, Germany
  • LinkedIn in/asitdave

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asitdave/README.md

👋 Hi, I’m Asit Dave

🚀 Data Scientist/Analyst | Astrophysicist | Problem Solver | Tech Enthusiast
📍 Based in Germany | 🌍 From India

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⚡ About Me

  • 🎯 Passionate about turning data into impact through statistics and machine learning
  • 🛠️ Experienced in Python, SQL, Tableau, PowerBI, MS Office
  • 📊 Skilled in Predictive Analytics, Deep Learning, NLP, Time-Series, Anomaly Detection
  • 🌌 Background in Astrophysics → Data Science, blending scientific rigor with business value

🔬 Featured Projects

📌 A curated set of my best work (more on my repos):

  • 🕵️‍♂️ Anomaly Detection in Financial Transactions → Isolation Forest with F1 score: 0.93
  • 📱 User Segmentation & App Uninstall Prediction → XGBoost with 97.7% accuracy
  • 🖼️ CNNs for Image Classification → Clothing recognition with 91% accuracy
  • 🛰️ SpaceX Landing Prediction → ML models predicting reusable rocket landings
  • 💹 Stock Price Forecasting & Portfolio Risk → ARIMA + Risk-return analysis

👉 Explore more in my repositories.

🛠️ Tech Stack

Programming:   Python R SQL LaTeX HTML Markdown

Libraries:   Pandas NumPy SciPy Scikit-learn TensorFlow PyTorch statsmodels matplotlib seaborn Plotly

Tools & Tech:   Git GitHub GitLab Flask Azure Services Docker Apache

Operating Systems: Linux Ubuntu

⭐ "I believe in building data-driven solutions that don’t just work — but scale, explain, and inspire."

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  1. Machine-Learning-Projects Machine-Learning-Projects Public

    A portfolio of machine learning projects that use classification, clustering, and regression to analyze data, build predictive models, and extract valuable insights for real-world applications.

    Jupyter Notebook

  2. Data-Science-Projects Data-Science-Projects Public

    A collection of data science projects that explore various datasets, applying analysis, machine learning, and data visualization techniques to extract valuable insights and solve real-world problems.

    Jupyter Notebook

  3. Market-Channel-Performance-Analysis Market-Channel-Performance-Analysis Public

    Data-driven analysis of marketing channel performance other than evaluate CAC, ROI, and campaign efficiency.

    Jupyter Notebook

  4. Stock-Price-Prediction-and-Risk-Analysis Stock-Price-Prediction-and-Risk-Analysis Public

    Stock price analysis and prediction using EDA, technical indicators, portfolio risk assessment, and time-series modeling (ARIMA & LSTM).

    Jupyter Notebook 1

  5. Bispectrum-Pipeline-for-Galaxy-Surveys Bispectrum-Pipeline-for-Galaxy-Surveys Public

    BIPOLARS is a Python-based pipeline for computing higher-order statistical measures, such as bispectrum and power spectrum multipoles, from galaxy survey data, optimized for parallel processing and…

    Python

  6. Sentiment-Analysis-with-PySpark Sentiment-Analysis-with-PySpark Public

    Jupyter Notebook