Skip to content
View asitdave's full-sized avatar
7 followers · 8 following
  • University of Bonn
  • Bonn, Germany
  • LinkedIn in/asitdave

Highlights

  • Pro

Block or report asitdave

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
asitdave/README.md

Hi, I’m Asit Dave 👋

Data Scientist with background in Astrophysics

I spent a long time making sense of some of the largest and complex datasets in observational cosmology. Apparently, businesses have the same problem! Humans and galaxies aren't so different after all when you're staring at the data.

📍 Based in Germany

Profile views
Portfolio Tableau LinkedIn Gmail

⚡ 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):

  • Conversion Uplift & A/B Testing Platform → Experimentation dashboard with statistical rigor and business impact
  • User Segmentation & App Uninstall Prediction → XGBoost with 97.7% accuracy
  • Anomaly Detection in Financial Transactions → Isolation Forest with F1 score: 0.93
  • Marketing Channel Performance Analysis → Recommended data-driven reallocation of funds (Datathon competition)
  • Stock Price Forecasting & Portfolio Risk → ARIMA + Risk-return analysis

👉 Explore more in my repositories.

🛠️ Tech Stack

Languages:   Python SQL R HTML LaTeX

ML & Data Science:   Pandas NumPy SciPy Scikit-learn TensorFlow PyTorch NLTK Dask PySpark Statsmodels

Data Visualization & BI:   Matplotlib Seaborn Plotly Tableau Power BI Streamlit

Cloud & DevOps   GCP Azure Docker Git GitHub MLflow Apache CI/CD Linux

Background

  • 🎓 M.Sc. Astrophysics - University of Bonn
  • 🔭 Graduate Researcher - Modeled observational biases of the Euclid Space Telescope
  • 🎵 Indian classical music, 🏏 Cricket, 🎮 Gaming, 🏐 Volleyball

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

Pinned Loading

  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 1

  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. Marketing-AB-Testing Marketing-AB-Testing Public

    Causal analysis of advertisement effectiveness using A/B testing, Bayesian inference, and a cloud-deployed analytics dashboard.

    Jupyter Notebook

  5. SQL-Retail-Sales-Analysis SQL-Retail-Sales-Analysis Public

    Used SQL to answer business questions from sales data

  6. App-Users-Segmentation-and-Uninstall-Prediction App-Users-Segmentation-and-Uninstall-Prediction Public

    Segments app users by behavior and predicts uninstall likelihood using ML models to support data-driven retention strategy.

    HTML