Senior Technical Product Manager

• Aug 2022 - Present

Technical Product Manager

• Oct 2021 - Aug 2022

data related tools and products for Sennder:- Data Platform- Data Warehouse- Analytics tools- Streaming solution- Data marts

Product Manager

• Feb 2020 - Sep 2021

Key achievements:- Setup of a data-driven decision framework through the monitoring of precise and relevant KPIs- Pivot on product positioning, leading to first customer adoption and revenues- Increased retention by 400%- Divided internal cost of the product by 2- Enhanced customer happiness by several points through key metrics (API stability, response time, result quality...) - Budget management ~1mil € / yearDaily activities:- Leading and providing vision to the development team and stakeholders- Definition of MVPs- Collection of feedbacks from users, design of problem-solving features- Product Owner of a Scrum team composed of 8 engineers, using SAFE methodologies- Prioritization of product backlog, in order to maximize the value generated by the engineers- Roadmap definition and communication to Executives- Competition analysis and surveillance- Coordination with more than 20 teams (customers, developers, designers, implementation, sales, marketing...)- Showcases to prospects and customers- Pricing model and business case elaboration- Internal trainer for "Product Best Practices"

Scrum Master & Technical lead

• Jan 2019 - Mar 2020

- Facilitator to improve the velocity of the development team- Technical lead, contributing to technologies and architectures design cross R&D team.- Ensure team spirit and shield the development team from external requests.

Data Engineer

• Jul 2018 - Mar 2020

Elaboration of AI / machine learning models.Data mining to extract valuable insights from petabytes of data.Industrialization of components based on supervised learning algorithms.Design and development of a generic A/B testing platform.

Software Engineer / Data engineer

• Sep 2016 - Aug 2018

Daily work with Scala, Java , big data tools (spark, hadoop, hive, drill, kafka, oozie, tableau, Qlick, ElasticSearch ...) and CI.- Explore data to find meaningfull information from "big data" datasets (TBs / day). Tools: qlick, tableau, python- Design and develop automated Data Processing pipelines to extract this information - lambda architecture. Tools: spark, scala, sbt, kafka and hadoop eco-system- Design and develop APIs to make the data available to other products / commercial teams. Tools: Java, Jboss, MavenPersonnal work on different innovative / entrepreneur alike projects, including business plans and prototyping.

Data scientist intern

• Apr 2016 - Sep 2016

Big Data technics in online advertising for the travel industry:- Data mining in the ADserver's data lake to extract KPIs for data-driven business development decisions. - Data visualisation and manipulation through Tableau desktop and Tableau cloud.- Clustering with K-prototypes. Implemented a MapReduce version with python & hadoop.- Time series forecasting with ARIMA and Neural Network RNN LSTM - using Keras

Software Engineer Internship

• Jan 2015 - Jun 2015

Startup focusing on self-organising systems and IoT, for Building's automation.First, I improved the autopilot for industrial cleaners in the following ways:• Coupled RGB-SLAM with a laser scan to improve self-localisation of the robot•Enhanced the odometry of the robot by making IMU assess and compensate its own offset• Refined the path planner and occupancy grid generation with a vectorization algorithmThen, I joined the team working on the next big project: Crownstones (https://crownstone.rocks/).I worked on the indoor localisation using BLE and the android application to deploy new crownstones.

Research Internship

• Jun 2014 - Dec 2014

I was part of the Vision for Robots team. My work consisted of developing several python/C++ modules for the NAO robot and the ROMEO prototype of Aldebaran.These modules include:• Object recognition with a single RGB camera, using classifier or pattern/color recognition.• Object tracking• GraspingI had the opportunity to:• Greatly improve my coding skills,especially C / C++ / python.• Deepen my knowledge of computer vision, using openCV.• Learn cross-compilation and threads management to adapt a code for a specific embedded system, using Cmake and Pthread.• Learn how to use Aldebaran software, namely Choregraphe, Monitor, Naoqi.• Elaborate and solve kinematic systems to control robot's arms.http://www.acin.tuwien.ac.at/1/institute/

Project Manager and Quality analyst

• Jan 2013 - Jan 2014