I am a Master's Student in Data Science and Analytics at EPITA. Proficient in analytical tools and technologies including Python, SQL, Apache Spark, Azure, Power BI, Tableau, Scikit-learn, TensorFlow, Git, Docker, and Apache Airflow, I specialize in optimizing processes and deriving actionable insights from complex data.In my previous roles, I conducted predictive analysis using historical data to forecast material needs and enhance inventory management. I effectively communicated findings through interactive dashboards created with Power BI, enabling informed decision-making.I have experience analyzing product performance using Python and SQL, automating reporting processes for efficient processing of large datasets. Additionally, I integrated data solutions with Azure, collaborating with cross-functional teams to implement data-driven insights.I am seeking a 6-month end-of-studies internship starting from February 2025 to apply my skills and contribute to innovative data projects. Recognized my exceptional problem-solving skills, I thrive in fast-paced environments and excel at communicating complex ideas with clarity and enthusiasm. With a strong foundation in Mathematics, Statistics, and Analytics, I look forward to making a positive impact in a dynamic organization.Skills:Programming Languages: Python, SQLData Technologies: Apache Spark, Azure, FastAPIData Visualization: Power BI, Tableau, Matplotlib, SeabornMachine Learning: Scikit-learn, TensorFlow, PyTorchTools & Platforms: Git, Docker, Apache AirflowMobile : +33-7-80-72-47-40Mail ID : nandini.arjunan@epita.fr