Practical Database Engineer possessing in-depth knowledge of data manipulation techniques and computer programming paired with expertise in integrating and implementing new software packages and new products into system. Offering 3 years of background managing various aspects of development, design and delivery of database solutions. Tech-savvy and independent professional bringing outstanding communication and organizational abilities.
Kansas City Crime Data Analysis using Big data tools:
We analyzed the crime data records of all areas in Kansas city to track the areas with high crime rates in order to prevent them from happening more in the future.
By using cutting-edge technology and data analytics, it analyzes crime patterns.
Modern big data tools, particularly Apache Spark have been deployed.
Heart Disease Prediction using Machine Learning algorithms:
We have presented a solution to predict heart diseases using Logistic regression, K-nearest neighbor (KNN), Naive Bayes algorithm, Decision trees and Support vector machines.
We used a dataset which consists of 303 individual data.
Code is implemented in Python and different classification models are applied.