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

Trevor French

Taxbit

• Developed a proof-of-concept pricing API along with an analysis methodology which is being sold to fortune 500 fintech companies
• Responsible for the execution of a large government contract for data science and analytics work on massive datasets
• Influenced tax policy inside the federal government with predictive models as well as descriptive statistics about taxpayer behavior

Analytics Manager

• Created a full suite of self-service data analysis tools using R Shiny which saved the business unit hundreds of hours of labor
• Placed 2nd in our annual hackathon by integrating with an ERP platform which laid the foundation for future product offerings
• Mapped out the data model and API specs for every mainstream crypto exchange to help our engineering team quickly integrate

Clarity

Swire Coca-Cola, USA

• Responsible for revenue forecasting, deal analysis, and pricing strategy for entire Full-Service/On Premise business segment
• Developed a pricing optimization model to reduce attrition and maximize margin during unprecedented COGS increases
• Developed a program to extract contract elements from photos to determine which customers were eligible for price increases

Data Analyst, Planning Revenue Growth Management

Ecolab

• Developed PowerBI reports and Excel spreadsheets to track territory performance and identify opportunities for growth
• Optimized routing through a Node.JS app integrated with Google Maps which allowed me to see more customers per day

Territory Manager

Brigham Young University - Idaho

• Supervised seven data analysts as we tackled projects ranging from application development to labor and budget forecasting
• Developed an application which was used to send texts and emails to thousands of students reminding them to register for classes

• Leveraged C# and JavaScript APIs to automate processes which resulted in the elimination of an entire “processing” sub-department
• Developed PowerBI dashboards to monitor key metrics and identify new opportunities for automation and/or training

Insight Pest Solutions

▪ Scraped home price data using Google Apps Script and developed insights around demographic data and customer behavior

taplio

The Battle

Rami Krispin

Trevor French

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