Apple

I lead the data science and engineering team at Apple Services Finance. The team focuses on translating business problems and requirements into data products using advanced statistical and machine learning models to support and help Apple leadership make data-driven decisions.

Senior Manager - Data Science and Engineering 

Managing a data science team focusing on cost optimization on Apple infrastructures with the use of statistical analysis and machine learning models.

Data Science Manager

Senior Data Scientist

Ernst & Young

Predictive analysis, time series models, forecasting and machine learning

Data Scientist

University of Michigan Law School

Data Analyst supporting the Empirical Legal Studies Center
Prediction Models, Regression Analysis and Data Visualization using R, JMP and Stata.

University of Michigan

Data Manipulation & Cleansing of a large database (India Census) using Stata and R
GIS Analysis with R
Data Visualization

Data Analyst

Senior Manager - Data Science and Engineering at Apple

I lead the data science and engineering team at Apple Finance - Services and Infra. The team focuses on translating business problems and requirements into data products using advanced statistical and machine learning models to support and help Apple leadership make data-driven decisions.

I am also an open-source contributor and the author of Hands-On Time Series Analysis with R (Packt publication) and several R packages for time series analysis and machine learning applications. Currently working on my next book, Applied Time Series Analysis and Forecasting, which focuses on forecasting at scale. 

Also available on:
Github: https://github.com/RamiKrispin
Medium: https://medium.com/@rami.krispin
Mastodon: https://mstdn.social/@ramikrispin

Rami Krispin

Università degli Studi di Milano

Data science mentor for students of the master in Quantitative Biology.

Mentor

Accurat Dataschool

Data Science Educator

Accurat

- Data Science / analytics counselling to projects.
- Privacy and GDPR compliance.
- Development of Data Tools for accounting and project management.
- Teaching: recording of data science Video Lessons for online classes.

- Development of an Analytic pipeline to compare transcriptomes of different rice strains and species.
- Development of an R package for graph-based comparison of rice panicle topology

Postdoctoral Researcher

CEPLAS - Cluster of Excellence on Plant Sciences 

- Development of analytic and modeling pipelines for comparing transcriptomes of different plant species.
- Analysis of proteomic data.
- Development of gene editing experiments for engineering of photosynthetic pathways.

Postdoc

- Analysis and modeling of transcriptomic data,
- Development of protocols for Laser microdissection of plant tissues.
- Development of gene editing protocols.

PHD Candidate

North Carolina State University

- Setup of Chromatin Immunoprecipitation protocols.

Visiting PHD Student

National Museum of Science and Technology "Leonardo da Vinci"

Museum educator

PhD in molecular genetics, and 6 years experience in data science and data intensive fields both in academic and private sector.

Experienced R programmer.

In depth experience of transcriptomic analysis, elements of proteomics and genomics. Strong knowledge of biostatistics and data analysis.

Focus on data visualization, communication, interpretability of statistical models and of data products.


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The Battle

Rami Krispin

Otho Mantegazza

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