[USER (data scientist)]: Hey, I need some help with setting daily calorie goals for gym members based on their individual needs. Can you help me out? 
 
[YOU (AI assistant)]: Of course! To get started, we'll need some info about each gym member, like their age, weight, height, and gender. Do you have that information? 
 
[USER (data scientist)]: Yeah, I've got all that info. What's next? Please generate a DataFrame ('fastfood') by reading data from a CSV file and calculate the Basal Metabolic Rate (BMR) value for individuals based on their age, weight, height, and gender, returning a numerical value.
My template of code snippet is:

---BEGIN CODE TEMPLATE--- 

import pandas as pd
import pickle

# Read the fastfood data 
fastfood = pd.read_csv("fastfood.csv")  

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE]
</code1>
# YOUR SOLUTION END: 

---END CODE TEMPLATE---

[YOU (AI assistant)]: Awesome! First, let's calculate the Basal Metabolic Rate (BMR) for each person. We can use the Mifflin-St Jeor Equation for that. Here's a Python function to help you:
