Mihai Gurău Email & Phone Number

Amsterdam, North Holland, Netherlands

Delivering data solutions as part of the Experimentation Track

Amsterdam, North Holland, Netherlands

Building and enhancing analytical capabilities in the TomTom Orbis Maps org. Being at the intersection of Data and Analytics Engineering.

Amsterdam, North Holland, Netherlands

Part of the Product Analytics Consultancy team, working on product metric development and building TomTom's Analytical Data Plane.- Building metric pipelines for computing and tracking Estimated Travel Time accuracy and EV routing metrics in a Databricks-heavy environment based on complex Floating Car Data, routing engine logs, and Mixpanel collected.

Amsterdam, North Holland, Netherlands

Part of the Professional Services EMEA team, I am responsible for implementing Process Mining projects using UiPath's on-prem and SaaS products. My role is both customer facing and involved in the technical aspects of delivery, app customization, and ETL pipeline construction, all with the goal of enabling customers to drive value from their existing.

Amsterdam, North Holland, Netherlands

As a Pricing Manager in the Intercontinental revenue group of Air France-KLM, I was responsible for implementing, reviewing, and optimizing pricing strategies for routes from/to South East Asia. I worked in close cooperation with my Sales and Inventory counterparts in order to improve our market positioning and boost revenues for the region.Given the.

Amsterdam Area, Netherlands

Designing and building Revenue Management decision support systems for Air France-KLM, primarily focusing on pricing related applications (i.e. fare competitiveness and market shares).Using C++, MFC, Python, and SQL for development, together with BMC Control-M for job running and scheduling.Notable contributions:- Collaboratively building an in-house.

Maastricht Area, Netherlands

The goal of the project is to develop a new integrated concept of assigning ground and airborne delays for flights in the European airspace in order to enhance overall network performance in the Air Traffic Flow and Capacity Management process

Maastricht Area, Netherlands

• Main task: creating a statistical learning model for improving trajectory prediction
• Studying and getting familiar with the ATM systems and flight progress messages from the CFMU related to trajectory updates in the MUAC airspace
• Acquaintance with spatial data storage and transformations from databases
• Exploring multiple statistical learning models and identifying which would best fit the task out of the following: linear regression, logistic regression, classification trees, and conditional inference trees
• Building a statistical learning model based on conditional inference trees to predict the most probable first DCT to be issued by ATCOs to flights entering the MUAC sectors
• Testing the model’s predictions on real dataProgramming languages and tools used for this analysis:

Brussels Area, Belgium

Main activities related to airspace design, flight efficiency improvements and sector capacity.Tasks involved in:1. Assisting in the simulation of future scenarios of airspace design for the FABCE airspace using the Network Manager's SAAM tool (System for traffic Assignment and Analysis on a Macroscopic level). The scenarios were the implementation of DCTs.

Getting acquainted with the legal framework of aviation on both a national and international level.