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

Actuartech

• Optimised Python algorithm for anomaly detection on life insurance data, reducing error rates by 10% and enhancing efficiency for the finance team.
• Consulted in 3 live Q/A sessions on advanced R/Python, resolving data science queries post-training.
• Designed and developed a SQL advanced training course for actuaries, using technical knowledge to create content and deploy teaching notebooks using AWS.

Data Science Consultant

Cargolink

• Led the technical team at Cargolink, integrating AI solutions to optimize logistics operations.
• Developed cutting-edge algorithms to revolutionize the logistics industry with Gen AI technology.
• Collaborated with cross-functional teams to ensure seamless AI integration for logistics optimization.

AI/Data science Lead

• Led a project to automate KPIs using Power BI, Python, and Streamlit, reducing operational costs.
• Enhanced GMM and VFA life insurance frameworks with reinforcement learning models, cutting runtime
• Automated data integration using Google APIs and AWS( Lambda, ECS, EKS, S3, Cloud Front), Python.

Data Scientist | Developer

• Developed and launched a SQL & Python training course, boosting customer engagement.
• Collaborated with the marketing team to enhance program visibility using digital technologies.

Software Developer Internship

Starlink logistics Pvt Ltd.

Assisted in cleaning, analysing, interpreting, and displaying data using different approaches and business intelligence tools which helped in uncovering key insights that lead to better informed and successful decision-making.

Analyst

I am a passionate Data Scientist and Business Strategist with expertise in deep learning, strategic decision-making, and cloud solutions. With over 3 years of experience in building AI and ML-driven models and optimising business strategies, I have led transformative projects across diverse industries, including life insurance, logistics, and healthcare.

My core competencies lie in developing advanced algorithms, predictive analytics, and implementing scalable cloud solutions on platforms like AWS and GCP. I specialise in using data analysis to create actionable business strategies, while minimising risk and upholding data ethics. I have a proven track record of reducing operational inefficiencies by automating processes and improving decision-making through data-driven insights. Recent projects include anomaly detection, AI-driven route optimisation for a logistics startup, and deploying GPT models to streamline customer service. Committed to knowledge sharing, I’ve designed training programs for professionals and led data science workshops for Deloitte and PwC. I’m always exploring innovative ways to harness AI and machine learning to tackle complex business challenges and deliver impactful results.

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Rami Krispin

Keshav Singh

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