👩‍💻 I am a Scientific Developer and Data Enthusiast with a strong foundation in biological research and a passion for applying data science across various fields. My expertise lies in integrating data-driven solutions to solve complex problems, whether in healthcare, life sciences, or beyond. 🧬💡

🧠 Core Expertise:
- Data Science & Analytics: Skilled in Python, R, and SQL for data analysis, machine learning, and predictive modeling. I use tools like Scikit-Learn, PySpark, and Pandas to extract actionable insights from data. 📊📉
- Data Engineering: Proficient in building data pipelines and managing large-scale data with Spark, Hadoop, and MongoDB, ensuring efficient data processing and accessibility. 🛠️🚀
- Big Data & Visualization: Experienced in Talend, Elasticsearch, Kibana, and Power BI to handle and visualize complex datasets, providing clear, data-driven insights for decision-making. 📈🖥️
- Transcriptomics: Expertise in building RNA-Seq pipeline, analyzing gene expression data to identify key biomarkers, contributing to the understanding of disease mechanisms. 🧫🧠
- Health Innovation: Focused on applying computational and data-driven approaches to improve healthcare outcomes, from drug discovery to analyzing clinical data. 💊🧪
- Cross-Industry Applications: Beyond biology, I explore opportunities to apply data science in various industries.🌍🔍

🤝 Let’s Connect:
I am open to new collaborations and projects where data science can drive impactful solutions, whether in healthcare, business, or any data-rich industry. Let’s work together to harness the power of data!