I’m a detail-oriented and results-driven Data Analyst passionate about uncovering meaningful insights from complex data to drive business decisions. My approach combines analytical rigor with creative storytelling to solve problems, automate workflows, and design intuitive dashboards.
I am currently enhancing my skills in advanced data visualization and machine learning, with a strong interest in applying data-driven solutions to real-world business challenges.
- Strong interest in data-informed decision-making and business strategy
- Focused on building efficient, automated solutions using Python
- Continuously learning and adapting to new tools, frameworks, and methodologies
- Outside of data, I enjoy reading, experimenting with cooking, and simplifying technical concepts for others
- Python
- SQL
- Pandas, NumPy, Scikit-learn
- XGBoost, LightGBM
- TensorFlow, PyTorch (Beginner level)
- MLflow (Experiment Tracking)
- Power BI
- Tableau
- Plotly, Matplotlib, Seaborn
- Jupyter Notebook
- Git, GitHub
- Excel, Google Sheets
- MySQL
- Creating interactive dashboards for storytelling and business intelligence
- Building machine learning workflows to support data-driven solutions
- Automating data pipelines and reporting tasks using Python
- Exploring customer behavior, product performance, and trend forecasting
- Designing visual narratives that help stakeholders take action
I'm open to collaborating on data-driven projects, contributing to open-source work, or having insightful conversations about analytics, technology, and career growth.
- LinkedIn: Priyanka Malavade
- GitHub: @priyanka7411
- Email: priyasmalavade@gmail.com
“Good decisions come from good insights. Great insights come from asking the right questions.”