hands on insurance analytics consultant

Hello Sir, greetings from IDeepeners ! We are an Indian : Data Analytics and Visualization Consultant: IDeepeners. I have read your description and understood your requirements very closely. We can do your task within a very short range of time, as we have experts in this. Earlier also we have successfully created prediction models. For our samples and more details , feel free to connect and we can discuss further details in the chat. Best Regards, Harshit Jain IDeepeners

Automotive engineers are involved in the design, manufacture, distribution, marketing, sales and after-sales care of cars (including racing cars), motorbikes and other commercial vehicles. Engineers will work on the aesthetics and technical performance of these vehicles and, increasingly, the electronics and software involved with modern vehicles. Responsibilities of the job typically include: assessing project requirements agreeing and negotiating project budgets, timescales and specifications with clients and managers developing and implementing test procedures building prototypes of components to carry out tests on organising and carrying out tests, eg to check whether engines will work in different conditions, such as high temperatures interpreting and analysing results and data sourcing vehicle components and selecting the best materials to use providing technical advice and answering queries from clients using specialist computer modelling software to produce designs making improvements to vehicles in response to customer feedback investigating and solving problems, eg mechanical failures working closely with suppliers writing reports and documentation giving presentations undertaking relevant research

I am a data analytics professional with an experience of 3 years in a pure play analytics firm. I also have a master's degree in Operational Research. I have worked with an Australian insurance client and provided solutions like Fraud detection framework, Entity Resolution leading due flagging of possible fraudulent claims. I am quite comfortable with both R and Python and have some experience in Pyspark. Not to mention that working in a client services environment, I know the importance of timely delivery and how to stick to timelines.