Hey! I’m Priyanka, a Data Science Enthusiast fueled by an unquenchable thirst for knowledge and a passion for all things data! From diving deep into machine learning models to uncovering trends and insights in datasets, data science is where I feel at home. 🚀
- 🌱 Currently exploring: The ever-expanding world of machine learning algorithms, data science tools, and harnessing Python's full potential.
- 🤝 Looking to collaborate: On open-source projects that bring data to life and make an impact.
- 💬 Ask me anything: Data analysis, machine learning, Python, or anything data-driven. Let's chat!
- ⚡ Fun fact: When I’m not coding, you’ll find me experimenting in the kitchen with new recipes or lost in a good book! 📚🍴
Here are some of the technologies I enjoy working with:
- 🐍 Python: My weapon of choice for data wrangling, machine learning, and everything in between.
- 🗃️ SQL: The key to unlocking insights hidden in databases.
- 📒 Jupyter Notebook: Where the magic happens for my data science experiments.
- 🧹 Pandas & NumPy: Power tools for data manipulation and numerical analysis.
- 🔍 Scikit-learn: For all things machine learning, from preprocessing to model building.
- 🌟 TensorFlow/Keras & PyTorch: Dipping my toes into the world of deep learning.
- 🚀 XGBoost/LightGBM: Because sometimes, you need a little extra boost in performance.
- 🧪 MLflow: Keeping track of my experiments and making model management a breeze.
- 📊 Matplotlib & Seaborn: Bringing data to life with elegant plots.
- 📈 Plotly: Creating interactive visualizations that tell a story.
- 🖥️ Power BI & Tableau: Crafting stunning data visualizations for business intelligence.
- 📋 SQL (MySQL, PostgreSQL): Querying structured data like a pro.
- 📐 SciPy: For all my advanced mathematical and statistical analysis.
- 🌍 Git & GitHub/GitLab: Ensuring seamless version control and collaboration on projects.
- 📊 Excel/Google Sheets: For quick data analysis and reporting on the fly.
- 🐍 Anaconda: My go-to Python distribution for data science.
I'm always excited to connect with fellow data enthusiasts and like-minded individuals.