Pursuing MS in Information Technology and Management focusing in Data Management.
Execute analytical experiments to help solve various problems, making a true impact across multiple domains.
Identify relevant data sources and sets to mine for client business needs and collect large structured/unstructured datasets and variables.
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Algorithms include linear regression, multiple regression, classification algorithms such as KNN, Naïve Bayes algorithm., decision trees, SVM, etc.
 Analyze data for trends and patterns and interpret data with a clear objective in mind using Python and R.
Proficient with reporting and visualizations using Tableau and PowerBI.
Have a good hand over working with the ELK Stack.
Developed ETL procedures to migrate data with the help of Pentaho and SSIS.
Can work and query effectively and efficiently with databases such as MySQL and MongoDB.
Create websites and user interfaces, using standard HTML/CSS, JavaScript practices, while incorporating data from back-end databases and services.
Intermediate experience with programming languages such as Java and C.