Pre-Trained Machine Learning Models

{
        name: "John Jones",
        income: 36020.13,
        expense: 2847.67,
        expenses: [
            transport: {
                total: 1080.04,
                subcategories: [
                    {
                        categoty: "BUS",
                        desc: "UPI to bus@paytmbus",
                        expense: 100.01
                    },
                    {
                        categoty: "CAB",
                        desc: "Uber Wallet",
                        expense: 229.14
                    },
                    {
                        categoty: "fule",
                        desc: "VPS/34875 Hindustan Petrolium Ltd",
                        expense: 300.44
                    },
                    {
                        categoty: "fule",
                        desc: "VPS/39875 Hindustan Petrolium Ltd", 
                        expense: 450.45
                    }
                ]
            },
            utilities: {
                total: 1767.63,
                subcategories: [
                    {
                        categoty: "broadband",
                        desc: "Airtel Broadband",
                        expense: 699.67,
                    },
                    {
                        categoty: "gas",
                        desc: "GSPC Auto Debit",
                        expense: 589.74,
                    },
                    {
                        categoty: "electricity",
                        desc: "Torrent Power Bill",
                        expense: 478.22,
                    }
                ]
            }
        ]
        incomes: [
            {
                categoty: "salary",
                desc: "Salary from Eastway",
                expense: 35000,
            },
            {
                categoty: "INT",
                desc: "INT for the the FD ",
                expense: 1000,
            },
            {
                categoty: "INT",
                desc: "INT for the period of 2003-04-01 to 2003-09-31",
                expense: 20.13,
            }
        ]
    }

{
    number: "134711-320",
    class: 56,
    code/End: None,
    expiry: 20 Nov 2023,
    firstName: "SAMPLE",
    lastName: "Sam",
    address: "24 My Place Street, Anywhere AB, T5J 2M6",
    state: "AB",
    bitrthDate: 20 Nov 1971,
    physicalDiscription: {
        sex: "F",
        hair: "bro",
        eyes: "bro",
        height: "182 CM",
        weight: "83 KG",    
    },
    issueDate: 17 May 2018,
    donateHeart: true,
    hologram: true,
    motorVehicleIdentification: "006-81780"
}

{
      "PDF Name": "kotak-securities-report.pdf",
      "company name": "Persistent Systems Limited",
      "ticker": "PERSISTENT",
      "Sector": "IT Services",
      "Target Price": 1025,
      "Market Price": 848,
      "Recommended Action": "Buy",
      "Date of publish": "24/07/2018",
      "Institution": "Kotak Securities",
      "Research Text": {
        "Everest Group names Persistent a Major Contender in its Salesforce Healthcare Services PEAK Matrix® Assessment": "Positive",
        "For 8th consecutive year Persistent takes leadership positions in Zinnov Zones Engineering Research and Development Services Report": "Positive",
        "Persistent Systems Ltd has informed BSE that the Company has fixed the Record Date for the purpose of Payment of Interim Dividend": "Neutral"
      }
    },

{
 "data": [
   {
     "company name": "XXXXX",
     "ticker": "X",
     "Sector": "Pharma",
     "Revenue (INR) In the last FY": 1231112,
     "EBIT (INR) In the last FY": 312112,
     "EBITDA (INR) In the last FY": 213312,
     "Selling/Administrative Expense, Total (INR) In the last FY": 7388264,
     "Interest Expense (INR) In the last FY": 738431,
     "Total Debt (INR) In the last FY": 374234,
     "Company Market Cap (INR) In the last FY": 987723,
     "Total Current Assets (INR) In the last FY": 32342,
     "Total Liability (INR) In the last FY": 4139827,
     "Credit Score": 78,
     "Probability of Default": 0.22
   },
   {
     "company name": "YYYYYY",
     "ticker": "YY",
     "Sector": "Manufacturing",
     "Revenue (INR) In the last FY": 7679842,
     "EBIT (INR) In the last FY": 145634,
     "EBITDA (INR) In the last FY": 1569873,
     "Selling/Administrative Expense, Total (INR) In the last FY": 8765332,
     "Interest Expense (INR) In the last FY": 567623,
     "Total Debt (INR) In the last FY": 423785,
     "Company Market Cap (INR) In the last FY": 857723,
     "Total Current Assets (INR) In the last FY": 627734,
     "Total Liability (INR) In the last FY": 672344,
     "Credit Score": 24,
     "Probability of Default": 0.70
   }
 ]
}

{
    "data":[
        {
            "company name": "Dr.Reddy's Laboratories Ltd",
            "ticker": "RDY",
            "time": "2020/09/17 08:03:00",
            "news": {
                "title": "Dr. Reddy's Laboratories announces settlement of U.S. Revlimid® (lenalidomide) Capsules patent litigation with Celgene, a Bristol Myers Squibb Company",
                "link": "https://www.businesswire.com/news/home/20200917005470/en/Dr.-Reddys-Laboratories-announces-settlement-U.S.-Revlimid%C2%AE", 
            },
            "sentiment": "Positive",
            "last price": "70.02",
            "probabilities": [0.001, 0.003, 0.1, 0.90, 0.001]
        },
        {
            "company name": "Bristol-Myers Squibb Co",
            "ticker": "BMY",
            "time": "2020/09/22 06:59:00",
            "news": {
                "title": "U.S. Food and Drug Administration (FDA) Accepts for Priority Review Bristol Myers Squibb and bluebird bio Application for Anti-BCMA CAR T Cell Therapy Idecabtagene Vicleucel (Ide-cel, bb2121)",
                "link": "https://www.businesswire.com/news/home/20200922005376/en/U.S.-Food-Drug-Administration-FDA-Accepts-Priority",
            },
            "sentiment": "Neutral",
            "last price": "58.76",
            "probabilities": [0.001, 0.023, 0.80, 0.1, 0.1]
        }
    ]
}