I’m a results-driven Data Analyst with a strong foundation in Python programming and Machine Learning, skilled at transforming complex data into actionable insights. I specialize in using data to drive smarter business decisions by leveraging advanced analytical techniques, predictive modeling, and statistical analysis.
With expertise in data wrangling, exploratory data analysis (EDA), and visualization, I can clean and analyze large datasets efficiently. I build and deploy machine learning models to uncover patterns, forecast trends, and automate decision-making processes. I’m also proficient in libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, and experienced with Jupyter Notebooks for data storytelling.
Whether it's analyzing customer behavior, optimizing operations, or building predictive systems, I bring a mix of analytical thinking, coding skills, and business understanding to every project.