I am a detail‑oriented Data Analyst with a strong foundation in Python, SQL, and statistical analysis. My expertise lies in data cleaning, exploratory data analysis (EDA), and visualization using tools like Pandas, NumPy, Power BI, and Excel. I enjoy transforming raw datasets into meaningful insights that support business decision‑making.

With hands‑on practice in SQL joins, window functions, and Python‑based data manipulation, I have developed the ability to handle complex datasets and present findings in a clear, actionable manner. My background in customer service and planning adds a practical edge, enabling me to understand business needs and communicate insights effectively.

Currently, I am focused on mastering machine learning basics, advanced SQL, and marketing analytics (MMM) to grow into a Data Scientist role. I thrive on continuous learning and believe in combining technical skills with business understanding to deliver impactful results