Gaining hands-on experience with the best-in-class Analytics Tools and Technology.

The solutions we provide to clients are based on scalable machine learning models, which require comprehensive experience in the following technology stack which makes the lives of our Data Scientists and Data Engineers much easier. PySpark (an interface for Apache Spark in Python) helps us build pipelines that are capable of handling Big Data, MLlib enables us to build scalable Machine Learning Models, PowerBI provides us with a better communication channel to communicate our solution impact to the business, and Databricks (a platform to process big data) connects all the above functions to build an end-to-end Advanced Analytics solution. 

What are the key concepts aspiring Data Scientists should learn to make the best use of the tools and technology available today?

The aspiring data scientists should learn mathematical concepts behind Machine Learning algorithms, large–scale data processing, and descriptive statistics.

What has been your experience working with the tools and technology available at OCTAVE?

The best part of OCTAVE is that we iteratively evaluate tools and technology to ensure we are up to the industry standards. I am excited to share two technologies I had the opportunity to explore recently. First, Delta is a data format extended from Apache Parquet, which enables efficient ways to manipulate big data. Second, OCTAVE is slowly adapting MLOps to make sure entire teams (Data Science, Data Engineering, Platform Engineering, and Analytics Delivery) follow a set of practices from development to production stages.

What would like to share with those interested in joining OCTAVE?

OCTAVE will be the best choice among Data and Advanced Analytics companies if you are passionate about solving challenging business problems through Big Data on cutting edge technologies and platforms.

Further, OCTAVE performs an advanced transformation program with the direction of a consulting firm, which is among the top three consulting firms worldwide. This is a rare opportunity for an aspiring data scientist to learn under a well-known consulting firm.

Written by: Kiruparan Balachandran, Senior Data Scientist