I am giving you a list of json object which contains the meta data (personal details) of the profile. From there you need to analyze and understand the data. After that I give a profile, you have to give the top 5 profile list based on the matched and related profile from the given list of json object

Sample json data:
[{
"personId": "1",
"dateOfBirth": "1994-09-03",
"gender": "Male",
"street": "",
"city": "Chennai",
"state": "Tamil Nadu",
"country": "India",
"postalCode": "",
"nationality": "Indian",
"occupation": "Software Engineer",
"education": "Computer Science Engineer",
"specialization": "Senior Frontend Developer",
"currentJob": "Senior Frontend Developer at ippopay",
"experience": "4 years",
"futureBussinessInterest": "Entrepreneur",
"hobbies": "Cricket",
"pet": "cat",
"website": "https://www.ippopay.com/"
},
{
"personId": "2",
"dateOfBirth": "1991-12-29",
"gender": "Male",
"street": "",
"city": "Bhiwani",
"state": "Haryana",
"country": "India",
"postalCode": "",
"nationality": "Indian",
"occupation": "Software Engineer",
"education": "Bachelor of Computer Application",
"specialization": "Frontend Developer",
"currentJob": "Frontend Developer at WORKSENT",
"experience": "3.9 years",
"futureBussinessInterest": "agriculture",
"hobbies": "",
"pet": "Elephent",
"website": "https://tapeshdua.vercel.app/"
},
{
"personId": "3",
"dateOfBirth": "",
"gender": "Female",
"street": "",
"city": "Kollam",
"state": "Kerala",
"country": "India",
"postalCode": "",
"nationality": "Indian",
"occupation": "System administrator",
"education": "Bachelor degree",
"specialization": "Windows system administrator",
"currentJob": "Windows system administrator at WORKSENT",
"experience": "1 years",
"futureBussinessInterest": "Tech startup",
"hobbies": "Tech talk",
"pet": "dog",
"website": "https://nishikanta7819.github.io/portfolio/"
},
{
"personId": "4",
"dateOfBirth": "1989-01-28",
"gender": "Male",
"street": "",
"city": "",
"state": "Telangana",
"country": "India",
"postalCode": "",
"nationality": "Indian",
"occupation": "Financial Manager",
"education": "Master degree",
"specialization": "Financial Planning Manager",
"currentJob": "Financial Planning Manager at Philips",
"experience": "12 years",
"futureBussinessInterest": "Accounting startup",
"hobbies": "football",
"pet": "",
"website": "https://www.philips.com/"
},
{
"personId": "5",
"dateOfBirth": "",
"gender": "Female",
"street": "",
"city": "Gurugram",
"state": "Haryana",
"country": "India",
"postalCode": "",
"nationality": "Indian",
"occupation": "Analyst",
"education": "Master of Business Administration",
"specialization": "Operations Analyst",
"currentJob": "Operations Analyst at Royal Bank of Scotland Business",
"experience": "5 years",
"futureBussinessInterest": "",
"hobbies": "reading",
"pet": "",
"website": "https://www.rbs.co.uk/"
},
{
"personId": "6",
"dateOfBirth": "1981-06-25",
"gender": "Male",
"street": "",
"city": "South Delhi",
"state": "Delhi",
"country": "India",
"postalCode": "",
"nationality": "Indian",
"occupation": "Vice President",
"education": "CA Final",
"specialization": "Vice President",
"currentJob": "Vice President at Maersk Global Service Centres",
"experience": "20 years",
"futureBussinessInterest": "",
"hobbies": "",
"pet": "Elephent",
"website": "https://www.maersk.com/"
},
{
"personId": "7",
"dateOfBirth": "",
"gender": "Male",
"street": "",
"city": "Mumbai",
"state": "Maharashtra",
"country": "India",
"postalCode": "",
"nationality": "Indian",
"occupation": "Human Resources Officer",
"education": "Human Resources Management & Industrial RelationsPG in PM&IR",
"specialization": "Chief Human Resources Officer",
"currentJob": "Chief Human Resources Officer at Mahindra and Mahindra Limited",
"experience": "14 years",
"futureBussinessInterest": "Automotive and Farm Equipment Business",
"hobbies": "golfing",
"pet": "Fish",
"website": "https://www.mahindra.com/"
},
{
"personId": "8",
"dateOfBirth": "2002-01-01",
"gender": "Female",
"street": "",
"city": "Noida",
"state": "Uttar Pradesh",
"country": "India",
"postalCode": "",
"nationality": "Indian",
"occupation": "Engineer",
"education": "B.Tech",
"specialization": "Software Engineer",
"currentJob": "Software Engineer at Blackberry",
"experience": "3 years",
"futureBussinessInterest": "",
"hobbies": "cooking",
"pet": "",
"website": "https://www.blackberry.com/us/en"
},
{
"personId": "9",
"dateOfBirth": "1995-04-17",
"gender": "Female",
"street": "",
"city": "Vadodara",
"state": "Gujarat",
"country": "India",
"postalCode": "",
"nationality": "Indian",
"occupation": "Talent Acquisition Executive",
"education": "Master’s Degree, Human Resource Management",
"specialization": "Talent Acquisition Executive",
"currentJob": "Talent Acquisition Executive at Torrent Power",
"experience": "8.7 years",
"futureBussinessInterest": "politician",
"hobbies": "",
"pet": "Tiger",
"website": "https://www.torrentpower.com/"
},
{
"personId": "10",
"dateOfBirth": "",
"gender": "Female",
"street": "",
"city": "",
"state": "Andhra Pradesh",
"country": "India",
"postalCode": "",
"nationality": "Indian",
"occupation": "Professional Development Consultant",
"education": "",
"specialization": "Professional Development Consultant",
"currentJob": "Professional Development Consultant at Torrent Power",
"experience": "24 years",
"futureBussinessInterest": "",
"hobbies": "Drawing",
"pet": "dog",
"website": "https://www.mtxb2b.com/s/"
}
]