Balachandar Paulraj

Manager, Data Engineering at Sony Interactive Entertainment
📚 Manager, Data Engineering | San Francisco, California, United States
Mutual Connections
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3 Publications
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2 Questions

👤 About

Skills & Expertise

Machine Learning Databricks Tableau SQL JavaScript Python Linux Management Data Science Apache Spark Amazon Web Services (AWS) Snowflake Requirements Analysis

Research Interests

Machine Learning Cloud Computing data analytics Computer Science Data Warehousing and data Mining Operational Efficiency Data Management Data Integration Hadoop AWS services Data Engineering Leadership Big Data Processing Databricks Apache Spark Data Pipeline Development Real-Time Data Processing Query Optimization Data Visualization (Tableau) Data System Optimization

Connect With Me

💼 Experience

Manager, Data Engineering

Sony Interactive Entertainment · April 2019 - Present

Senior Manager, Data Engineering

Comcast · May 2014 - April 2019

Technical Lead

Standard Chartered Bank · May 2009 - May 2014

🎓 Education

Anna University, Chennai

B.E in Computer Science · 2008

🎤 Conferences & Seminars (1)

Ext-NoSQL: A NoSQL Schematics through JSON
2024 IEEE 12th International Conference on Intelligent Systems (IS) · Varna, Varna, Country · August 2024
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🏅 Certificates & Licenses (3)

AWS Certified Big Data – Specialty
Amazon Web Services (AWS) · Issued on June 2020
Leadership Principles
Event: Leadership Principles · Harvard Business School Online · Issued on November 2022
Databricks Certified Data Engineer Associate
Event: Databricks Certified Data Engineer Associate · Databricks · Issued on June 2023

📖 Role in Research Journals (3)

Editorial Board Member
Journal: International Journal of Current Science || Publisher Name: ijcspub
IJCSP
Reviewer
Journal: International Journal of Current Science || Publisher Name: ijcspub
IJCSP
Journal: International Journal of Current Science || Publisher Name: ijcspub
IJCSP

📚 Publications (3)

Journal: Universal Research Reports • September 2024
This paper proposes an advanced methodology of spam detection by including N-gram tf.idf feature selection and a deep multi-layer perceptron neural network, with further improvement through the modifi...
Leveraging Machine Learning Spam Detection N-gram tf.idf Feature Selection High-Dimensional Data Class Imbalance Benchmark Datasets Enron Dataset SpamAssassin SMS Spam Collection Social Networking Data False Positives False Negatives Feature Extraction Deep Learning Robust Spam Detection MACHINE LEARNING
Journal: International Journal of Intelligent Systems and Applications in Engineering • March 2024
This comprehensive study explores cutting-edge strategies for enhancing operational efficiency in technology-driven organizations. As the business landscape continues to evolve rapidly, companies face...
Operational Efficiency Tech-Driven Organizations Digital Transformation Data Analytics Artificial Intelligence Agile Methodologies Sustainability Innovation Management
Journal: Journal for Research in Applied Sciences and Biotechnology • April 2022
In this report, the author provides a review of the design and operation of the resilient data ingestion architecture with a particular emphasis on the issues associated with third-party data vendor i...
Resilient Data Ingestion Architecture Third-Party Data Integration Data Reliability Error Handling Scalability Adaptability Data Quality Assurance Data Ingestion Pipelines External Data Integration Data Vendor Challenges
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