With over X years of experience as a professional Data Scientist, I find this project, Crypto Historical Data Analysis, both stimulating and straightforward due to my strong proficiency in Python and relevant data analysis libraries you seek like Pandas, Numpy, Matplotlib and Seaborne. My previous projects leverage on data retrieval and aggregation through API usage, hence acquiring historical trading data for the Bitcoin/US Dollar pair can be achieved smoothly.
Moreover, I have proven expertise in Machine Learning (involving Scikit-learn, TensorFlow, Keras) which will be useful in calculating the metrics you have listed like highest, lowest and percentage difference of Bitcoin prices alongside analysis of average trading volume. Undoubtedly these would involve statistical analysis for accurate results.
Lastly but not least, an additional advantage I bring is having worked with crypto data APIs before giving me an insight into working intricacies that might help ensure a seamless process. As we delve into this exciting task together, I am confident we can generate astonishing insights from this archival data set to help shape your ongoing cryptocurrency ventures. Let's discuss further and turn your data into valuable information!
Skills: Data Analytics (Python/Pandas), Machine Learning (Scikit-Learn/Tensorflow/Keras), Statistics