Hey! I'm Priyanka, a Data Science Enthusiast with an endless curiosity for all things tech and data! Whether it's diving deep into machine learning models, crafting insightful visualizations, or discovering hidden trends in datasets—data is where I thrive.
- 🌱 Currently exploring: Machine learning algorithms, data science tools, and Python's limitless possibilities.
- 🤝 Looking to collaborate on: Exciting open-source projects that bring data to life!
- 💬 Ask me anything about: Data analysis, Python, or anything data-related. I’m always up for a chat!
- ⚡ Fun fact: When I’m not coding, you can find me reading or experimenting with new, delicious recipes!
Here are some of the technologies I love to work with:
- 🐍 Python: For data wrangling, machine learning, and everything in between.
- 🗃️ SQL: To slice, dice, and query databases with ease.
- 📒 Jupyter Notebook: My go-to for experimenting with data science projects.
- 🧹 Pandas & NumPy: Data manipulation and numerical analysis made simple.
- 🔍 Scikit-learn: Machine learning toolkit to power up predictions.
- 🌟 TensorFlow/Keras & PyTorch: Exploring the depths of deep learning.
- 🚀 XGBoost/LightGBM: Gradient boosting for next-level performance.
- 🧪 MLflow: To track, manage, and deploy machine learning experiments.
- 📊 Matplotlib & Seaborn: Visualizing data with beautiful plots.
- 📈 Plotly: For creating interactive, dynamic plots.
- 🖥️ Power BI & Tableau: Business intelligence and interactive data storytelling.
- 📋 SQL (MySQL, PostgreSQL): Structured data handling with powerful queries.
- 📐 SciPy: For all my advanced math and statistical needs.
- 🌍 Git & GitHub/GitLab: Version control and collaboration made easy.
- 📊 Excel/Google Sheets: For quick data analysis and reporting.
- 🐍 Anaconda: Python distribution for all things data science.
I’d love to connect with fellow data enthusiasts!