Data insights from Excel/CSV data

Hi I am looking for data scientists to give me insights/trends/correlations in CSV/Excel data related to insurance sales and claims. You must be an experienced data scientists/analyst who could provide basic and advance insights and present in dashboard in visuals. The data is structured in the following manner: Type of home insurance = renter vs owner Year of transaction Loss Type Loss Reason Age of customer Age of insurance policy Claim Amount Credit Score Occupation The relationship or trends/correlation analysis needed is comprehensive and targeted to find if Credit Score has any impact on chances of making claim. e.g. low credit score makes more claims and vice versa. Similarly, study needs to be done if any other variables like occupation, policy age, customer age etc has any relevance or hidden relationship with claims or amount of claims. The data is about two residential types: Condo Owners AND Tenants ColA = identifies Condo vs Tenants ColB = Policy Year ColC = Loss Type ColD = Loss Detail ColE = Occupation of the client in the residence ColF = Age of the main client in the residence ColG = Age of Other person in the residence ColK = Number of years the client has this policy (also called policy age) ColM = Claim or loss amount ColP = Credit Score Band ColQ = house location (postal code) Important Note: Need to check if the data contains claims or non-claim entries of the same clients year over year. Since many clients have been with this company for many years, there may be information on clients with multiple claims. Although there is no proxy to identify same client data, nearest proxy could be postal code.