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

NEXZN SOFTWARE PRIVATE LIMITED

CIN/LLPIN
U72200TG2022PTC160868
Registration Number
160868

LLMs Developer

Naresh i Technologies

Python Engineer

TuringMinds.Ai

Rave Cyber Solutions Pvt Ltd

Intern

About

I’m a Data Scientist with over 3 years of hands-on experience in leveraging data-driven solutions to solve real-world business problems. My expertise lies in building and deploying machine learning models, developing automated data pipelines, and performing advanced data analysis using Python, R, SQL, and big data tools like SparkSQL and PySpark.

I hold an M.Tech in Data Science Engineering and a B.Tech in Mechanical Engineering, which gives me a unique perspective on problem-solving across domains. Over the years, I’ve worked extensively with cloud platforms such as Azure (including Data Factory, Databricks, Synapse Analytics, ML Studio, and Pipelines) and tools like IBM Watson Studio and MLflow for model tracking and deployment.

My experience spans across:

Designing end-to-end ML solutions for healthcare and predictive analytics

Utilizing Generative AI (Gemini Pro, Langchain) for document analysis and image-to-text tasks

Working with both structured and unstructured data including image classification using OpenCV and PIL

Developing and deploying apps using Streamlit and Flask

Collaborating in Agile/Scrum teams, mentoring peers, and presenting insights to stakeholders

I’m passionate about combining technical skills with domain knowledge to deliver impactful solutions. I continuously explore innovations in Generative AI and cloud-based machine learning to stay ahead in this evolving field.

Let’s connect and explore how data can drive smarter decisions and create better outcomes.

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Rami Krispin

Abhinandan Joshi

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