dom = ElementTree.parse('profile.xml')

ticker = dom.findall('TICKER')
name = dom.findall('NAME')
address = dom.findall('ADDRESS')
phone = dom.findall('PHONE')
website = dom.findall('WEBSITE')
sector = dom.findall('SECTOR')
industry = dom.findall('INDUSTRY')
full_time = dom.findall('FULL_TIME')
bus_summ = dom.findall('BUS_SUMM')

ticker_list = [t.text for t in ticker]
name_list = [t.text for t in name]
add_list = [t.text for t in address]
phn_list = [t.text for t in phone]
site_list = [t.text for t in website]
sec_list = [t.text for t in sector]
ind_list = [t.text for t in industry]
emp_list = [t.text for t in full_time]
sum_list = [t.text for t in bus_summ]

db = mysql.connector.Connect(host = 'localhost', user = 'root', password ='root' , database = 'nldb_project')
cur = db.cursor()
query = "INSERT INTO profiles(`prof_ticker`,`name`,`address`,`phonenum`,`website`,`sector`,`industry`,full_time`,`bus_summ`) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)"

sqltuples = [(t,n,a,p,s,sec,i,e,su) for t,n,a,p,s,sec,i,e,su in zip(ticker_list,name_list,add_list,phn_list,site_list,sec_list,ind_list,emp_list,sum_list)]
cur.executemany(query,sqltuples)

<?xml version="1.0"?>
<collection shelf = 'profile'>
<INFO>
    <TICKER>AAPL</TICKER>
    <NAME> Apple Inc.</NAME>
    <ADDRESS>1 Infinite Loop;Cupertino, CA 95014;United State</ADDRESS>
    <PHONE>408-996-1010</PHONE>
    <WEBSITE>http://www.apple.com</WEBSITE>
    <SECTOR>Technology</SECTOR>
    <INDUSTRY>Consumer Electronics</INDUSTRY>
    <FULL_TIME>100,000</FULL_TIME>
    <BUS_SUMM>Apple</BUS_SUMM>
    <SOURCE>https://finance.yahoo.com/quote/AAPL/profile?p=AAPL</SOURCE>
</INFO>
<INFO>
    <TICKER>T</TICKER>
    <NAME> AT and T Inc.</NAME>
    <ADDRESS>208 South Akard Street;Dallas, TX 75202;United States</ADDRESS>
    <PHONE>210-821-4105</PHONE>
    <WEBSITE>http://www.att.com</WEBSITE>
    <SECTOR>Communication Services</SECTOR>
    <INDUSTRY> Telecom Services</INDUSTRY>
    <FULL_TIME>254,000</FULL_TIME>
    <BUS_SUMM>at and t</BUS_SUMM>
    <SOURCE>https://finance.yahoo.com/quote/T/profile?p=T</SOURCE>
</INFO>
<INFO>
    <TICKER>IBM</TICKER>
    <NAME>International Business Machines Corporation</NAME>
    <ADDRESS>1 New Orchard Road;Armonk, NY 10504;United States</ADDRESS>
    <PHONE>914-499-1900</PHONE>
    <WEBSITE>http://www.ibm.com</WEBSITE>
    <SECTOR>Technology</SECTOR>
    <INDUSTRY> Information Technology Services</INDUSTRY>
    <FULL_TIME>366,600</FULL_TIME>
    <BUS_SUMM>ibm</BUS_SUMM>
    <SOURCE>https://finance.yahoo.com/quote/IBM/profile?p=IBM</SOURCE>
</INFO>
<INFO>
    <TICKER>TWTR</TICKER>
    <NAME>Twitter,Inc.</NAME>
    <ADDRESS>1355 Market Street;Suite 900;San Francisco, CA 94103;United States</ADDRESS>
    <PHONE>415-222-9670</PHONE>
    <WEBSITE>http://www.twitter.com</WEBSITE>
    <SECTOR>Technology</SECTOR>
    <INDUSTRY>Internet Content Information</INDUSTRY>
    <FULL_TIME>3,372</FULL_TIME>
    <BUS_SUMM>twitter</BUS_SUMM>
    <SOURCE>https://finance.yahoo.com/quote/TWTR/profile?p=TWTR</SOURCE>
</INFO>
<INFO>
    <TICKER>TSLA</TICKER>
    <NAME>Tesla,Inc.</NAME>
    <ADDRESS>3500 Deer Creek Road;Palo Alto, CA 94304;United States</ADDRESS>
    <PHONE>650-681-5000</PHONE>
    <WEBSITE>http://www.tesla.com</WEBSITE>
    <SECTOR>Consumer Cyclical</SECTOR>
    <INDUSTRY>Auto Manufacturers</INDUSTRY>
    <FULL_TIME>37,543</FULL_TIME>
    <BUS_SUMM>tesla</BUS_SUMM>
    <SOURCE>https://finance.yahoo.com/quote/TSLA/profile?p=TSLA</SOURCE>
</INFO>
<INFO>
    <TICKER>PYPL</TICKER>
    <NAME>PayPal Holdings, Inc.</NAME>
    <ADDRESS>2211 North First Street;San Jose, CA 95131;United States</ADDRESS>
    <PHONE>408-967-1000</PHONE>
    <WEBSITE>http://www.paypal.com</WEBSITE>
    <SECTOR>Financial Services</SECTOR>
    <INDUSTRY>Credit Services</INDUSTRY>
    <FULL_TIME>18,700</FULL_TIME>
    <BUS_SUMM>paypal</BUS_SUMM>
    <SOURCE>https://finance.yahoo.com/quote/PYPL/profile?p=PYPL</SOURCE>
</INFO>
</collection>