Sumanshu Arora
Senior Data Scientist
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolSumanshu Arora is a Senior Data Scientist based in Sydney with 13+ years in the data industry and a strong track record of turning complex ML and engineering challenges into business impact. He has led and scaled data science teams and frameworks across banking, media, and fintech—driving credit-risk strategy at Zip, building marketing ROI models at Foxtel, and automating claims with agentic AI at Suncorp. A pragmatic builder, he combines production-grade engineering (CI/CD, microservices, cloud) with advanced ML for unstructured data (NLP, OCR, computer vision) and has hands-on experience integrating data pipelines in open-source projects like mage-ai. He has founded startups and freelanced, showing entrepreneurial instincts and a habit of shipping end-to-end solutions. Notably, his contributions to pipeline orchestration and cloud storage integrations reveal a depth in data engineering often beyond typical data science roles. He blends technical leadership, experimentation-driven product thinking, and operational rigor to deliver measurable outcomes.
7 years of coding experience
11 years of employment as a software developer
B.Tech, IT, 7.68, B.Tech, IT, 7.68 at Lovely Professional University
English, Hindi, punjbi
Github Skills (15)
etl10
trino10
data-pipelines10
data-pipeline10
python10
data-integration10
data-engineering10
orchestration9
orchestra9
ice8
apache-iceberg8
sql8
delta-lake8
stripe7
azure-blob-storage7
Programming languages (4)
Github contributions (5)
mage-ai/mage-ai
Mar 2023 - Apr 2024
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Role in this project:
Data Engineer
Data EngineerContributions:6 PRs, 2 comments, 5 issues in 1 year 1 month
Contributions summary:Sumanshu primarily contributed to data pipeline related tasks, including fixing bugs related to pipeline orchestration, particularly the `check_status` method. They also worked on integrations, addressing issues with Azure Blob Storage uploads, Trino temporary table locations, and Stripe synchronization, indicating expertise in connecting and manipulating data from various sources and destinations. The user's changes also included improvements and fixes related to data lake array handling within the Trino integration.
pythondatadbttransformationdata-quality
sumanshusamarora/mage-ai
Jul 2023 - Dec 2024
🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.
Contributions:1 PR, 19 pushes, 7 branches in 1 year 4 months
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