What are the applications of Data Science in Finance?

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Mayank Chhibber

Data Science Professional with more than 8 years of Experience in Finance

Data science has the most applications in Finance domain(Lending). Let me provide few examples: 1) Credit Risk Modelling 2) Collctions Analytics 3) Credit Policy Optimization 4) Marketing Analytics(A/B Testing, Channel Optimization) 5) ChatBots, Customer Interactions 6) Cost and Effort optimization 7)...
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Data science has the most applications in Finance domain(Lending). Let me provide few examples: 1) Credit Risk Modelling 2) Collctions Analytics 3) Credit Policy Optimization 4) Marketing Analytics(A/B Testing, Channel Optimization) 5) ChatBots, Customer Interactions 6) Cost and Effort optimization 7) With growth of LLMs we can apply it to Audit, Business Summarization, Internal Chatbots Apart from this in Quantitiative Trading and Investement domain it can be applied to built or optimize analyst strategies If you want to learn more regarding this, please book a demo class read less
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I am online Quran teacher 7 years

Data science has the most applications in Finance domain(Lending). Let me provide few examples: 1) Credit Risk Modelling 2) Collctions Analytics 3) Credit Policy Optimization 4) Marketing Analytics(A/B Testing, Channel Optimization) 5) ChatBots, Customer Interactions 6) Cost and Effort optimization 7)...
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Data science has the most applications in Finance domain(Lending). Let me provide few examples: 1) Credit Risk Modelling 2) Collctions Analytics 3) Credit Policy Optimization 4) Marketing Analytics(A/B Testing, Channel Optimization) 5) ChatBots, Customer Interactions 6) Cost and Effort optimization 7) With growth of LLMs we can apply it to Audit, Business Summarization, Internal Chatbots Apart from this in Quantitiative Trading and Investement domain it can be applied to built or optimize analyst strategies If you want to learn more regarding this, please book a demo class read less
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Online Mathematics tutor with 6 years experience(Online Classes for 10th to 12th)

Data science has the most applications in Finance domain(Lending). Let me provide few examples: 1) Credit Risk Modelling 2) Collctions Analytics 3) Credit Policy Optimization 4) Marketing Analytics(A/B Testing, Channel Optimization) 5) ChatBots, Customer Interactions 6) Cost and Effort optimization 7)...
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Data science has the most applications in Finance domain(Lending). Let me provide few examples: 1) Credit Risk Modelling 2) Collctions Analytics 3) Credit Policy Optimization 4) Marketing Analytics(A/B Testing, Channel Optimization) 5) ChatBots, Customer Interactions 6) Cost and Effort optimization 7) With growth of LLMs we can apply it to Audit, Business Summarization, Internal Chatbots Apart from this in Quantitiative Trading and Investement domain it can be applied to built or optimize analyst strategies If you want to learn more regarding this, please book a demo class read less
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Related Questions

Hi, I am looking for a managerial position in health care analytics sector. I have a background of Bachelors in Occupational Therapy and a Masters in Public Health Administration. I have more than 7 years experience of working with public health data, bio-statistics, epidemiological analysis. Currently working as a Sr. Epidemiologist in Hyderabad. I have an expertise in disease forecasting and scientific writing. Please suggest what course I should take up to become an expert in health care analytics domain, so that I can apply for mid level managerial positions. I am currently based at Hyderabad.
you consider "Healthcare Analytics Certificate Program" by UC Davis. Refer to https://extension.ucdavis.edu/certificate-program/healthcare-analytics-certificate-program
Thirumugam
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Currently I am working as a tester now, and looking to get trained in Data scientist.

Will that be a good decision, if I change my stream and move to data scientist field ?
Yes, I used to work in software testing in 2014. After, my master's from IIT Guwahati, now I am working as a research engineer in Machine learning domain. Data Science is a beautiful field. It involves...
Venkata

I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for  training. Pease lemme know how i can prepare myself.
First of all you start leaning following. 1.Database(Sql,Nosql) 2 Python,Pandas,Numpy 3 Basic Linux,Big Data(Hadoop,Scala,Spark) 4. Machine Learning 5. Deep Learning
Vishal
I'm looking for a freelance data science trainer to get the training as most of the institutions are expensive, and they don't allow monthly instalments. I'm looking for a trainer who accepts the fees in monthly instalments because I'm an entry-level working professional and I can only afford to pay a part of the full fees from my monthly salary.
Hi, I will support based on your requirments.
Mahesh
Hi, I am Anand having 4 years of experience in IT Recruitment but I have interest to build my career in HR Data Analytics. Please do let me know if anyone can help me on this?
Hi Anant, Try to make your future in Data Analytics, it will be good. Thanks - Syed.
Anant
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