I will build machine learning models in python

Data science is versatile and can benefit industries like healthcare, e-commerce, finance, marketing, logistics, and more. For example, it can optimize supply chains, improve customer experiences, detect fraud, or provide actionable business insights tailored to a specific industry.

Yes, unstructured data like text, images, and videos can be analyzed using advanced techniques such as natural language processing (NLP) for text analysis or computer vision for images. I can help process and extract meaningful insights from such data.

I use powerful tools like Tableau, Power BI, and Python libraries such as Matplotlib, Seaborn, and Plotly to create interactive and insightful visualizations tailored to your needs.

Missing or incomplete data is common, and I use various techniques to address it, such as imputation, interpolation, or analyzing subsets of complete data. The method depends on the type and extent of the missing data

Data analysis focuses on exploring and summarizing data to find patterns or trends, while data science encompasses broader tasks, including predictive modeling, machine learning, and building algorithms to solve complex problems.