Credit Scoring using Non-Traditional Data

@suyashdhoot

Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, PYTHON, WEKA, TABLEAU, POWER BI, and EXCEL tools like machine learning, deep learning, AI, NLP, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

@Albdi

I work as a data scientist and algo trader. In my day-job I help businesses with their data modelling problems. We did a similar project there where we used rated individuals to train models on alternative data such as documents and forms. I might be able to help you with your problem.I;m new here but I have materials and experience. Get in touch by chat, Alan

@jbh5899c93b754ff

i work as a data scientist for a retail firm and ur project looka interested. looking forward to hearing from you

@vsrmilan

Hi, I am a DL/ML expert, currently working as a deep learning specialist researcher at a mathematics research center, apart from freelancing. I have a BSc in Financial Analysis, and I understand the basics of credit risk evaluation. I can use deep learning to evaluate said profiles of applicants with NLP models, or even CNN models for image classification. Or after feature extraction I can use statistical models with more explanatory power (but less powerful), like decision trees or logistic regression.