The most complicated algorithms, revolutionary inventions, and technologies all consist of hundreds of the simplest components that use create synergy together. The ability to understand and create such projects depends on decomposition and simplification. On March 14 at the Data Science UA Conference, we will explore in details the experience of engineers, product managers, and investors in data science products.
Data Science UA
Feel the atmosphere of previous conferences
Technical track
Business track
Workshops
Registration
9:00 — 10:00
Conference opening
10:00 — 10:35
Oles Petriv
Reface.AI
Track opening
10:40 — 10:45
Track opening
10:40 — 10:45
17 elegant ways of shooting yourself in the foot during question-answering system development
UKR
Michael Sokolov
CTO Dex Technologies
10:45 — 11:30
Optimization in multi-label classification and system orchestration with TFX and Kubeflow Pipelines
ENG
Mohamed-Achref Maiza
Senior Data Scientist Renault Digital
10:45 — 11:30
Coffee break
11:30 — 11:50
Animable Neural 3D Models
UKR
Vladislav Zavadskyy
Head of Research NeoRender
11:50 — 12:35
How we perform productive AB tests: methodology and organization of work
UKR
Alexander Shevchenko
Lead Data Analyst Letyshops
Kostiantyn Radchenko
Product Analyst / Project Manager Letyshops
11:50 — 12:35
Bridging Quantum Computing and Machine Learning in Tensor Flow
UKR
Mykola Maksymenko
Director of Research and Development SoftServe
12:45 — 13:30
Top Deadly Sins of Applied Machine Learning in Finance
ENG
Dr. Luis Moreira-Matias
Head of Data Science Kreditech
12:45 — 13:30
Creating web-app for DS stuff with Streamlit
RUS
Serhii Tiurin
Data Scientist Data Science UA
11:40 — 13:30
Lunch
13:30 — 14:30
Challenges in hands tracking on mobile devices
RUS
Vladyslav Gorbatiuk
ML Software Engineer Snap Inc
14:30 — 15:15
DS education
RUS
Sergey Kurson
External Relations Expert Vodafone
14:30 — 15:15
Object tracking system using multiple NNs with an application in Sports
UKR
Raid Arfua
Senior Machine Learning Engineer SoftConstruct
15:25 — 16:10
Data rules - the impact of Data Science on business
UKR
Yuliia Holovko
Manager, People Advisory Services EY
Maryna Muntaniol
Senior Consultant, People Advisory Services EY
15:25 — 16:10
Coffee break
16:10 — 16:30
Object Detection with Single Shot Networks
RUS
Andrey Nikishaev
System Architect Moneyveo
14:30 — 16:20
ML models in production. Installation and configuration [:ua]Розгортання та налаштування продакшн пайплайнів для постійного перетренування ML моделей
UKR
Borys Pratsiuk
CTO Scalarr
16:30 — 17:15
Automating Food Recognition for Canteens with Machine Vision
ENG
Justin Shenk
CTO VisioLab
16:30 — 17:15
How to Identify An Object If You Must
RUS
Michael Korkin
CTO Everguard
17:30 — 18:15
Why your state-of-the-art ML can't predict markets
RUS
Alex Honchar
Co-Founder and CTO Neurons Lab
16:30 — 18:30