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

CNH Industrial

Head of Data Analytics, Business Intelligence and CRM Governance LATAM | Global S&OP Data Analytics

-  Machine Learning (Python and R): Forecast Algorithms using Neural Networks, Regressions, Decision Trees, Clustering and Time Series
-  Data Management: Data Mining, inspecting, cleaning, transforming and modeling data
-  Dashboard project conception, requirements gathering and development (Qlik Sense and Power BI)
-  Economic and market analysis in order to measure impacts of external and internal factors in the business
-  Cost and product portfolio optimization projects

Data Analytics Coordinator - Central Business Intelligence

- Data Product Management
Lead a cross-functional Data team, balance the strategy, governance and the end-to-end implementation of Cloud Data Platforms, facilitating communication between all stakeholders and departments, ensuring that the products supports the company's overall strategy and goals, using Cloud cutting-edge Data Driven data solutions.

- Microsoft Azure Cloud Project Leader
Lead enterprise scale projects across the Microsoft 365 and Microsoft Azure Cloud Platform, leading a migration/implementation team, interacting with stakeholders and being accountable for the successful implementation of the project to time, cost and quality constraints.

- Data Science and Analytics Leader
Manage the Data Science and Analytics team, conceiving, planning and prioritizing data projects, building analytical models, based on high business knowledge, strong problem solving and statistical analysis skills.

- Business Intelligence Leader
Lead Business Intelligence teams, plan, coordinate and supervise all activities related to the design, development and implementation of reports and organizational analysis, as well as being responsible for coordinating the maintenance, support and updating of reports, dashboards and databases, in Power BI and Azure Cloud workspaces.

- Data Driven Communication Cloud Project PMO
Cloud databases/Infrastructure development support for Social Media.

Data Analytics Coordinator - Global Agriculture Sales & Operations Planning

Senior Data Analytics - Global Agriculture Sales & Operations Planning

Data Analytics - Global Agriculture Sales & Operations Planning

Data Analytics - Central Business Intelligence

- Dashboard project conception, requirements gathering and development
-  Automation of management reports through the development of algorithms
-  Optimization and automation of processes through the creation of algorithms, for quick access by decision makers to information and reports
- Support Sales & Operations Planning

Data Analyst - Commercial Logistics

Vetorlog

- Perform analysis and optimization of process flows and integration between departments
- Definition and management of key performance indicators (KPI)
- Carry out cost and feasibility analysis
- Identify opportunities for improvement in procedures and operational techniques
- Assist in the preparation of the annual budget of the engineering, commercial, software development and administrative sectors.

Process Engineering

Telefônica Brasil

- Support in the preparation of documents, reports and spreadsheets related to the routines of the engineering sector
- Updating and entering data into engineering control systems
- Participation in editing reports related to the company's database
- Support in updating database information
- Assist in the preparation of the annual budget of the engineering sector

Engineer

Professional with more than 10 years of expertise in Data Analysis and Data Science & Analytics, focused on the Order-to-cash roadmap and in the development and expansion of the Data Driven mindset within the company, with emphasis on Supply Chain, Sales and Operations Planning (S&OP), Commercial Operations and Finance, with great synergy with the Precision Technology & Telematics and Parts and Services areas, also having experience in the LATAM Telecommunications sector.

Solid Global experience in leading and executing Agile & SAFe projects, managing requirements, roadmaps, teams and resources for the development of Data Products on the Order-to-cash roadmap, in the Agricultural Machinery and Heavy equipment Industry.

taplio

The Battle

Rami Krispin

Fernando Costa

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