Rami Krispin
Senior Manager - Data Science And Engineering
Cupertino, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRami Krispin is a Senior Manager of Data Science and Engineering at Apple Finance, bringing 11 years of experience translating complex business problems into production-ready data products and ML-driven decision tools. He leads teams that optimize cost and infrastructure and deliver forecasting and statistical solutions used by senior leadership across Apple Services. An author and active open-source contributor, Rami wrote Hands-On Time Series Analysis with R and maintains time-series tooling and datasets—most notably automating and sustaining a COVID-19 data pipeline on GitHub. With graduate training in applied economics and actuarial mathematics, he blends rigorous quantitative foundations with practical engineering discipline to scale forecasting at enterprise level. Outside of work he’s writing a new book on forecasting at scale, signaling a deep focus on operationalizing time-series science.
11 years of coding experience
7 years of employment as a software developer
Masters of Applied Economics (MAE), Masters of Applied Economics (MAE) at University of MichiganBachelor's degree, Economics, Bachelor's degree, Economics at The Open University of Israel
Stackoverflow
89reputation
10kreached
2answers
5questions
Github Skills (18)
data-pipelines10
r10
datasets10
vi10
data-pipeline10
co10
covid-testing10
r-stats9
rs9
data-integration8
h2o6
ggplot6
plotly6
ggplotly6
sparklyr6
Programming languages (9)
Github contributions (5)
RamiKrispin/coronavirus
Feb 2020 - Jan 2023
The coronavirus dataset
Role in this project:
Data Engineer
Data EngineerContributions:9 releases, 6183 commits, 23 PRs in 3 years
Contributions summary:Rami's commits primarily involve updating the coronavirus dataset data pipeline, specifically focusing on automatic data updates. These updates involve modifying data pipelines for vaccine and COVID-19 cases, reflected in changes to data parsing, table information extraction, and potentially, the data integration with the GIS system. The commits highlight a focus on maintaining data integrity and automating data refreshing for the COVID-19 dataset.
datasetrstats
RamiKrispin/EIAapi
Apr 2023 - Jun 2025
Supporting tools for the Applied Time Series Analysis and Forecasting book
Contributions:3 releases, 6 PRs, 26 pushes in 2 years 3 months
time-seriesapieiarrstats
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