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

As a Manager of Data Analytics at the University of Sunshine Coast, I'm dedicated to driving data-driven decision-making and advancing data governance processes. Currently, I'm focused on consolidating our data warehousing capabilities in Azure Synapse. I'm passionate about implementing agile delivery cycles and meta-driven design principles to ensure our data systems are optimized for analysis and reporting. With a strong background in data science and machine learning using R and Python, I'm committed to leveraging my expertise to improve data quality and integrity. I believe in transparency and making data-driven decisions that align with ethical considerations. My goal is to get our Synapse environment enterprise-ready and eventually step into a strategic leadership role. I'm always looking for innovative ways to improve our data analytics capabilities and welcome collaborations that drive business success.

taplio

The Battle

Rami Krispin

Andrei Mircea Stoian, MBUSP

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