Rishabh Goel
Student
New York, New York, United States
Summary
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SeniorRishabh Goel is an experienced data and cloud engineer with 11 years of experience, currently serving as Assistant Vice President - Risk Reporting at Citi. He has a proven track record of driving cost reductions and performance gains—e.g., cutting logging costs by 90% at Rakuten and reducing ETL runtimes by 60% at Honeywell—while building resilient data pipelines across on-prem and cloud environments. Comfortable across the stack, he codes in Java, Python, Scala and leverages tools like Apache Beam, Spark, Kafka, BigQuery and BigTable to deliver reliable MDM and analytics solutions. He combines hands-on engineering with product-minded dashboards and alerts that accelerate issue resolution for developers and PMs. A former Master's student in Computer Science, he blends academic curiosity with pragmatic system design and has a habit of turning costly, chatty logs into compact, actionable telemetry. Based in New York, he excels at making large, messy data ecosystems predictable and cost-effective.
11 years of coding experience
Github Skills (20)
rnn-tensorflow9
image-enhancement7
recurrent-neural-networks7
lstm7
python6
tensorflow5
language-model5
web-application3
fest3
quine3
algorithms2
kaggle1
eda1
algorithm1
kmeans1
Programming languages (6)
Github contributions (5)
rishabh254/Medical-Image-enhancement
Sep 2017 - Oct 2018
Medical image enhancement based on nonlinear technique and logarithmic transform coefficient histogram matching
Contributions:8 commits, 2 PRs, 6 pushes in 1 year 1 month
image-enhancement
rishabh254/Simulations
Dec 2017 - Dec 2019
This repository contains simulations of various algorithms such as A*-search, Quine Mcluskey, Chaos Game
Contributions:2 PRs, 39 pushes, 2 branches in 1 year 11 months
quine
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