https://github.com/rubydamodar/rubydamodar
I am a dedicated data scientist passionate about applying advanced statistical modeling and machine learning techniques to convert complex data into actionable insights. My expertise spans the entire data science lifecycle—from exploratory analysis and model development to evaluation and visualization.
https://github.com/rubydamodar/rubydamodar
Last synced: 2 months ago
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I am a dedicated data scientist passionate about applying advanced statistical modeling and machine learning techniques to convert complex data into actionable insights. My expertise spans the entire data science lifecycle—from exploratory analysis and model development to evaluation and visualization.
- Host: GitHub
- URL: https://github.com/rubydamodar/rubydamodar
- Owner: rubydamodar
- License: mit
- Created: 2024-10-13T11:12:21.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-10-24T16:03:16.000Z (7 months ago)
- Last Synced: 2024-10-25T10:25:35.203Z (7 months ago)
- Homepage:
- Size: 41 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
#### Data Science Enthusiast
I am a dedicated and passionate **Data Scientist** with a focus on applying advanced statistical modeling, machine learning, and data-driven insights to transform complex data into actionable solutions. My expertise spans the entire data science lifecycle, from **exploratory analysis** to **model development**, followed by **evaluation** and **visualization**.
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Continuously navigating the dynamic frontier of **Data Science**, I actively engage in innovative projects that challenge the limits of what is possible. I thrive on solving complex problems, uncovering hidden patterns in data, and creating solutions that drive impactful results. I am always eager to learn, grow, and contribute to the ever-evolving world of technology.
To leverage my expertise to empower businesses and organizations to make smarter, data-driven decisions and unlock the potential of their data.
- Statistical Modeling & Machine Learning
- Data Visualization & Insights
- Predictive Analytics
- Time Series Forecasting
- Deep Learning & Natural Language Processing (NLP)
| **🚀 Category** | **💻 Skills & Libraries** |
|---------------------------|-------------------------------------------------------------------------------------------------------|
| **🖥️ Programming** | Python, SQL, NumPy, Pandas, SciPy, Matplotlib, Seaborn |
| **🤖 Machine Learning** | Scikit-learn, XGBoost, LightGBM |
| **🧠 Deep Learning** | TensorFlow, Keras, PyTorch, Hugging Face Transformers |
| **📊 Data Visualization** | Matplotlib, Seaborn, Plotly |
| **🔡 Natural Language Processing** | NLTK, SpaCy, TextBlob |
| **🖼️ Image Processing** | OpenCV, Scikit-Image, Pillow, MediaPipe |
| **🧹 Data Cleaning & Wrangling** | Pandas Profiling, Missingno, Pyjanitor |
| **📂 Big Data** | PySpark, Dask, Hadoop |
| **📈 Time Series Analysis** | Statsmodels | |
| **🌐 Web Scraping** | BeautifulSoup, Scrapy, Requests |
| **🤔 Explainable AI** | ELI5, SHAP, LIME |
| **⚡ GPU Acceleration** | CuPy, RAPIDS |
| **📐 Statistical Modeling** | Statsmodels, Hypothesis Testing, Bayesian Analysis |
| **Category** | **Tools** |
|----------------------------|---------------------------------------------------------------------------|
| **APIs and Web Scraping** | 🚀 **Postman**, 🌐 **BeautifulSoup**, 🕷️ **Scrapy**, 🖱️ **Selenium** |
| **Database Tools** | 💾 **MySQL** |
| **ETL Tools** | 🔗 **Apache Nifi**, ⚙️ **Airflow**, 🛠️ **Pentaho** |
| **Data Cleaning** | 🧹 **OpenRefine**, 🔄 **Talend**, 📋 **Trifacta** |
| **Statistical Tools** | 📊 **RStudio** |
| **Spreadsheets** | 💡 **Microsoft Excel**, 🧮 **Google Sheets** |
| **AutoML Platforms** | 🤖 **H2O.ai**, 🌐 **Google AutoML**, 🛡️ **DataRobot** |
| **Deep Learning Tools** | 🧠 **TensorFlow**, 🔥 **PyTorch**, 🏗️ **Keras** |
| **Data Visualization** | 📉 **Matplotlib**, 📊 **Seaborn** |
| **Big Data Frameworks** | 🗃️ **Apache Spark**, 🌩️ **Hadoop** |
| **Version Control Systems** | 🛠️ **Git** |
| **GUI Tools for Git** | 💻 **GitHub Desktop** |
| **Best Practices** | 🌱 **Git Flow**, 📜 **Descriptive Commits**, 🗂️ **.gitignore** |
|  |  |
|---|---|
