Highly motivated and aspiring data engineer with strong technical skills in AWS, SQL, Python, Snowflake, Databricks, and BI Tools such as Tableau, Looker and Power BI. Experienced in creating workflow and dashboards visualizations. Have completed 1 year as PAT after being graduated with a Bachelor of Engineering in Information Science. Seeking a challenging role to leverage skills and contribute to the growth of a dynamic organization.
This project is an orchestration of ETL Workflow management by Apache-Airflow using AWS cloud
This project showcases the use of Databricks, Delta, PySpark, and CSV files for data processing. The objectives include data ingestion from CSV files, schema matching, and utilizing Delta for efficient data storage.
Please visit my tableau Online page
Developed during internship at Cognizant, this project performed SQL data analytics on given data, developed charts and KPI with the help of Qlik Sense. Created the dashboard and finally published it.
A chrome browser extension to predict if the site being visited is either PHISHING OR NOT using feature extraction. Given dataset was trained with three algorithms: Neural Network, Random Forest, and Support Vector Machine (SVM). SVM algorithm had the highest accuracy. Used the weights of SVM algorithms in our browser extension as preference in predicting the result. Once the trained weights were supplied to the JavaScript file which does all the calculations. This JavaScript file collects the features from the site and using the weights predicts the result which is later shown to the user using the alert box in the browser.