kaushikmanikonda / credit_risk_analysis

In 2019, more than 19 million Americans had at least one unsecured personal loan. Personal lending is growing at an extremely fast rate, and FinTech firms need to go through an organize large amounts of data in order to optimize lending. Python will be used to evaluate several machine learning models to predict credit risk. Algorithms such as Rando

Hi there 👋 I am Kaushik Manikonda!

I am an Aggie, a Machine Learning Researcher, an Industrial Engineer, a Petroleum Engineer, an Astrophysicist, and a Data Scientist all in one.

I am currently learning and applying machine learning algorithms/techniques to solve well control problems in offshore oil/gas/geothermal drilling. So, most of my repositories are related to machine learning, python, R, SQL, and Data Analysis.

I am still gradually reorganizing all my repositories with better naming schemes, and folder placement. So, Please do not mind any unorganized folders or files with esoteric names.

An Aggie does not lie, cheat, or steal, or tolerate those who do!

Some of my repositories are also directly related to coursework at Texas A&M university, College Station. Please keep the Aggie code of honor in mind when you are downloading and using my code/applications.