Rami Krispin
Senior Manager - Data Science And Engineering
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolRami Krispin is a data science and engineering leader at Apple, guiding a team that translates business problems into data products using advanced statistical and machine learning methods to support executive decision-making. With over a decade of experience across academia, professional services, and in-house finance infrastructure, he advanced from data analyst roles at the University of Michigan to senior leadership at Apple, including a focus on cost optimization. He is a prolific open-source contributor and author, known for Hands-On Time Series Analysis with R and several R packages, and he is currently drafting Applied Time Series Analysis and Forecasting to scale forecasting efforts. He actively maintains data pipelines with a strong emphasis on data integrity and automated refresh, as seen in his work on the coronavirus dataset and its data ingestion and GIS integration. Based in Cupertino, California, he combines academic rigor (MAE and actuarial mathematics) with practical product-focused engineering to drive data-driven decisions at the senior leadership level. He is passionate about turning complex data challenges into tangible, auditable solutions that bridge analytics and business outcomes.
10 years of coding experience
7 years of employment as a software developer
University of Michigan
Stackoverflow
89reputation
10kreached
2answers
5questions
Github Skills (18)
data-pipelines10
r10
datasets10
vi10
data-pipeline10
co10
covid-testing10
r-stats9
rs9
data-integration8
ggplot26
h2o6
plotly6
ggplotly6
shiny6
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/italy_dash
Mar 2020 - Jan 2023
A summary dashboard of the covid19 cases in Italy
Contributions:2856 commits, 2 PRs, 106 pushes in 2 years 10 months
casesplotly-dashplotlydata-visualisationdata-visualization
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