arunsudhakaran Goto Github PK

business-intelligence-and-business-analytics

Monitor and Control the fraudulent activities in e-commerce platform using Dynamic 365 and was visualized using PowerBI.

creidt-card-fraud-detection

Credit Card Kaggle Anamoly Detection Context It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

data-mining-and-machine-learning

Conducted a study to analyze the performance of KNN, Decision Tree, Linear Regression, Random Forest, and Logistic regression being applied to 3 large datasets related to road accident severity, suicide rates, and predicting medical appointment no shows.

database-and-analytics-programming

The project aimed at analyzing the impact of population and unemployment on per capita income. For this purpose, unstructured Json Data was stored in MongoDB. The data was then fetched programmatically using python and converted to CSV file and stored in PostgreSQL and analyzed and visualized.

fraud-prevention-project

You are tasked with implementing new fraud prevention measures. How would you approach this project, from initial planning to execution, and how would you ensure the team's cooperation in this process? can you answer this question using prince2 methodlogy?

google-looker-studio-

Learning google looker studio

level-up-sql-3211372

This is a LinkedIn Learning repo for Level Up: SQL

predictive-analytics

Predictive analytics of Heart attacks using various Logistic regression, Support Vector Machine, Decision Tree, and Random Forest. The prediction of heart attacks, analysis, and evaluation was performed using python.

statistics-for-data-analytics

tableau-sales-dashboard

This is an interactive dashboard showing sales data per geo location,products and number of orders