Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Projects
Affiliations
Languages
References
Timeline
Hi, I’m

Raghavendra J C

Bangalore
Raghavendra J C

Summary

Insightful Data Scientist recognized for high productivity and efficient task completion. Skilled in machine learning, big data analytics, and statistical modeling to deliver actionable insights. Strong in communication, problem-solving, and teamwork, enabling successful collaboration across departments to drive projects to completion.

Overview

4
years of professional experience
1
Certification

Work History

Telstra
Bangalore

Software Engineer
08.2021 - Current

Job overview

  • Decision-intelligence - Developed models to identify customers' price sensitivity nature, churn propensity, and customer lifetime value prediction using machine-learning techniques (XGBoost and linear regression) with end-to-end testing.
  • Decision intelligence - Segregation of eligible customers for marketing campaigns based on customer segmentation technique.
  • B2B S2P - This is an ETL project striving to facilitate the integration of data coming from multiple apps to render the data useful and help the business act according to the needs. The tech stack used was Azure Data Factory, ADLS (Azure Databricks for processing the data), Azure Synapse, Power BI, and Azure ML.
  • PII-column catcher – Built a framework to detect columns containing PII data based on just the column name. This was achieved using K-means to cluster the data, having similar distances (distances were calculated using the Smith-Walterman algorithm), to pre-defined PII categories, and setting a threshold distance for each cluster to determine if new data belongs to the category or not.
  • Gen-AI use-cases - Built multiple summarizers for customer executives to quickly know customers' past interactions, improving customer experience. Employed concepts like topic modeling, contextual compression, and Retrieval Augmented Generation (RAGs) vector bases.
  • In-house Job Scheduler – Built a framework to schedule ETL jobs to overcome Azure Data Factory shortcomings and integrated it with a Flask app to provide front-end control. The scheduler is the first ever of its kind in terms of recurrence, as no other PyPi packages offer a recurrence schedule with dependency management.

Telstra
Bangalore

Software Engineering Intern
01.2021 - 07.2021

Job overview

  • Selective-deployment tool – Built a ReactJS-Flask web application to generate artifacts, which helped in deploying selective branches from git for specific sprints during deployment. The Sprint data was web-scraped from Jira and the git repository from Gitlab
  • Migrated hundreds of Python scripts from version 2.10 to 3.7, allowing the scripts to be run without any failure on upgraded clusters that require the latest Python version.

Education

R V College of Engineering
Bangalore, India

Bachelor of Engineering from Information Science
08.2021

Skills

  • Fluent in Python, C, C
  • Data Modelling and Warehousing
  • Data Analytics
  • Parallel-programming, Object-oriented programming
  • Machine Learning and Deep-learning techniques
  • Computer vision(beginner)
  • Azure Data Factory, Databricks, Azure Synapse, Azure ML studio, Power Automate, AWS Redshift, AWS Athena, AWS sagemaker

Accomplishments

  • Scalable Big-Data Architecture for Enterprises, Raghavendra J C, Aishrith Rao, Dr. Padmashree T, Dr. Sowmyarani CN, International Journal of Emerging Technologies and Innovative Research, 2349-5162, 8, 6, e742-e747, 06/21

Certification

  • Design and Analysis of Algorithms, NPTEL
  • The Fundamentals of Hadoop, O’Reilly
  • Big Data processing using Spark, O’Reilly
  • The Complete 2020 Flutter Development Bootcamp with Dart, Udemy
  • Learn Ethical Hacking from scratch, Udemy

Projects

  • Online exam registration portal using HTML, CSS, PHP - A simple hassle-free web application that allows students to register for their semester examinations and for the college administrators to approve registration requests and handover Hall-tickets.
  • Crop-yield prediction using Logistic Regression - Built a model to predict crop yield based on historical data comprising weather conditions and soil properties.

Affiliations

  • Intermediate drawing skills
  • Soccer
  • Badminton

Languages

  • English, Kannada and Hindi

References

References available upon request.

Timeline

Software Engineer

Telstra
08.2021 - Current

Software Engineering Intern

Telstra
01.2021 - 07.2021

R V College of Engineering

Bachelor of Engineering from Information Science

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Raghavendra J C