Pavel Solomein

Berufserfahrung von Pavel Solomein

• Bis heute 3 Jahre und 10 Monate, seit Sep. 2020

  Data Scientist

  Noventiq

  - Computer vision system to detect and track objects at the steel factory shop floor (trains, buckets, shovels, cranes). Improved productivity and coordination between shop floors. [PyTorch OpenMMLab / YOLOX, docker] - Prototype to identify products on a supermarket shelf from images. Best accuracy achieved ~97% [PyTorch YOLOv5] - Model to detect defects of a superconductor tape with a linear camera. Random quality checks replaced with 100% automated batch inspection [TensorFlow U-NET, flask, docker]

• 10 Monate, Mai 2021 - Feb. 2022

  Co-Founder

  Voxence

  - Co-founded FoodTech startup aiming to improve ordering experience at restaurants - Created telegram bot prototype for voice ordering at a restaurant using ML [spacy fuzzy search, google speech-to-text, django] - Established relationships with the pilot restaurant, investors and partners - Co-managed a team of 3 freelancers to release the mobile app (“Кушац” in App Store / Google Play)

• 2 Jahre und 1 Monat, Apr. 2017 - Apr. 2019

  Data Science Consultant

  SAP

  - Consulted customers and built ML models for industries: banking, retail, manufacturing, chemical, metallurgy. Specialised in predictive quality/maintenance problems. [SAP HANA, R, SQL, pandas, sklearn, xgboost, flask, docker] - Won internal competition "SAP Innovator Challenge 2018". Assembled and managed a team of 6 colleagues to build an innovative IoT/ML/Cloud prototype solution for CrossFit [TI SensorTag, raspberry pi, MQTT, sklearn, flask, paper implementation]

• 8 Monate, Juni 2016 - Jan. 2017

  Electronics Engineer

  Unilever

  - Modified source code of a packaging machine to analyse breakdown data, reducing stoppages by 20% - Managed a transition to breakdown root cause analysis system in factory, reducing breakdown time by 2%