Elorri DESTIZONS

Led data-driven initiatives and collaborated with AI & data engineering teams to develop advanced analytics and machine learning solutions, enhancing business intelligence and decision-making. • Translated business needs into technical requirements to develop advanced analytical solutions, including statistical analyses and automated Power BI dashboards, enhancing performance tracking and enabling data-driven business insights. • Played a key role in defining the team’s data strategy, working closely with data engineers to design and implement a scalable data architecture. • Initiated and led the integration of private social media data using Fivetran, automating ingestion processes and enabling deeper, more comprehensive insights. Stack: Snowflake - S3 - Jupyter - VsCode Project Management : Agile/Scrum - Jira

Jellysmack is the global creator company that helps skyrocket their social growth through multi-platform distribution, financial backing, and data-driven content production. • Performed Exploratory Data Analysis while checking data quality using SQL and Python to collect and prepare data from various sources (databases, CSV files, APIs, etc.). • Leveraged data using statistics / ML to provide relevant insights and recommendations to business to make creators as valuable as possible. • Maximizing reach and revenue of our multiple video content monitoring performances across social media platforms of compilations vs crossposts and original videos. • Evaluating gained revenue publishing longer videos to earn more adbreaks. • Analyzing the impact of a software on videos’ performances using A/B testing. Social media platforms: Facebook, YouTube, Snapchat Stack: Amazon Redshift - Dbeaver - Jupyter - VsCode - Sagemaker - Looker

Helped teams in America coordinate data and produce global and relevant information through dashboards. • Coordinated data from 6 countries (Canada, USA, Mexico, Colombia, Chile and Argentina) and identified critical areas for process improvement in cleaning and analyzing data. • Developed Qlik Sense dashboards monitoring sales and network performances.

Support reliability of user interface during a new MR project’s development. • Built SQL queries to access data basis and perform field data analysis using Minitab to define usage profile. • Established a Component Reliability Plan: predicted reliability and life cycle cost, defined experimental conditions for robustness and endurance tests. • Implemented kaizen as a post-work of lean basics course, improving field performance data quality and contributing to overall reliability capabilities of Philips MR R&D. • Obtained Lean Foundation Certification.

Legal financial audit for middle market industries. • Performing audit of financial statements. • Participating in developing audit strategy and risk assessment • Preparing final financial audit reports and checking the company’s financial disclosure • Conducting several inventories independently

Predict end-of-life of a component in vascular imaging X-Ray devices. • Data mining to respond to an on-going digital business needs: selected, set up and supported data from installed base. • Set up tracking, addressed difficulties communicating and sharing results with the team. • Analyzed data and used digital twin to make reasonable projections about the future: proposed a strategy for future purpose developing an outline solution.

French firm of tutoring, number 2 in France • Determined student weaknesses and assessed areas of improvement. • Increased student averages in scientific subjects. • Responsible for 3 students.

• Setting up and monitoring a budget. • Tax and social security returns.

• Developed a graphic interface with Matlab for data processing in MRI protocol. • Documented market research on MRI safe tools and compiled data. • Contacted and organized a business meeting with a potential supplier.