Skip to content
View Aatmaj1's full-sized avatar

Block or report Aatmaj1

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Aatmaj1/README.md

Hi πŸ‘‹, I'm Aatmaj Janardanan

Hello, world! I am a Data Science Engineer with a focus on Azure Cloud and Databricks, my expertise lies in designing and optimizing ETL frameworks, with a proven record of enhancing system efficiency through innovation and strategic teamwork. Equipped with a command over Python, SQL, and PySpark, I craft data solutions that scale across cloud ecosystems. My approach blends technical acumen with strategic collaboration, transforming intricate data sets into streamlined narratives that propel business growth. Let's collaborate to forge a data-driven path to innovation and market leadership. πŸš€

Coding

Connect with me:

https://www.linkedin.com/in/aatmaj-janardanan/

Languages and Tools:

arduino aws azure c d3js docker figma firebase flask gcp git grafana hadoop heroku hive kafka linux matlab mssql mysql nginx opencv pandas photoshop postgresql python pytorch redis scikit_learn seaborn sqlite tensorflow unity

Popular repositories Loading

  1. python-exercises python-exercises Public

    Python

  2. Redis_example_matrix_workout Redis_example_matrix_workout Public

    Python

  3. textblob-ar textblob-ar Public

    Forked from adhaamehab/textblob-ar

    Arabic support for textblob

    Python

  4. AMLDataPrepDocs AMLDataPrepDocs Public

    Forked from dalavanmanphonsy/PendletonDocs

    Documentation for Microsoft Azure Machine Learning Data Preparation

    Jupyter Notebook

  5. Banking-Security-Enhancement-Using-PySpark Banking-Security-Enhancement-Using-PySpark Public

    Utilizing PySpark, we devised a robust fraud detection system analyzing Capital One's daily banking data to identify potential fraud. Leveraging PySpark SQL for data analysis and MLlib for precise …

    Jupyter Notebook

  6. Employee-Attrition-Analysis-and-Prediction Employee-Attrition-Analysis-and-Prediction Public

    This project undertakes the critical task of analyzing and predicting employee attrition, offering insights into the factors that influence employee turnover. Utilizing a dataset sourced from Kaggl…

    Jupyter Notebook