Conferences / PyData
PyData Yerevan 2022
Aug 12–13, 2022 · American University of Armenia, Paramaz Avedisian Building, Yerevan, Armenia
- Conference
- PyData Data science & ML
- Dates
- Aug 12, 2022 – Aug 13, 2022
- Venue
- American University of Armenia, Paramaz Avedisian Building
- Place
- Yerevan, Armenia
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- pydata.org
- Recorded
- 7 sponsors · 47 speaker appearances
- Notes
- First PyData conference in Armenia (2-day: talks, tutorials, keynotes). Speakers: all sessions in the pretalx schedule export (self-hosted pretalx, via Wayback Machine); affiliations parsed from pretalx bios (Weidinger from the keynote page). Ticket prices not found.
Ticket prices
No ticket prices recorded
Sponsors 7
Speakers and talks 47
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Aghasi Tavadyan | — | Talk | The dangers of mindless forecasting | — |
| Aleksandr Patrushev | Amazon Web Services | Talk | Use AutoML to create high-quality models | — |
| Alex Laptev | ITMO University | Talk | NVIDIA NeMo: toolkit for conversational AI | — |
| Andrey Manoshin | — | Lightning | EENLP: Cross-lingual Eastern European NLP Index | — |
| Anna Shahinyan | FiveBrane | Talk | Cifar-10 Exploratory Data Analysis | — |
| Anush Tosunyan | — | Talk | Tiling & Parallel Processing of Large Images | — |
| Arpine Sahakyan | — | Talk | How to start critical thinking in Data Science | — |
| Artem Terentyuk | Quantori | Talk | BERT Model for Real World Healthcare Data | — |
| Ashot Vardanian | — | Talk | Accelerated Data Science Libraries | — |
| Christopher Markosian | Rutgers University | Tutorial | Visualizing and Analyzing Protein Structures with UCSF Chimera | — |
| Daniel Kornev | Microsoft | Talk | Building your own Multiskill AI Assistant with DeepPavlov | — |
| Davit Abgaryan | DISQO | Talk | Recommendation Systems in Market Research | — |
| Diyar Mohammadi | Divar.ir | Talk | Near-Duplicate Ad Detection in Online Classified Ad Services | — |
| Dmitry Korobchenko | — | Talk | PyTorch Geometric for Graph Neural Nets | — |
| Dmitry Mezhensky | Grid Dynamics | Talk | ML Platform for Insurance Conglomerate | — |
| Dmitry Mironov | NVIDIA | Tutorial | Accelerated Machine Learning Systems End-to-End: From Data Stream to App | — |
| Elina Israelyan | EasyDMARC | Talk | AI-Powered Solutions for Cybersecurity | — |
| Erik Harutyunyan | SuperAnnotate | Talk | Active Learning for 3D mesh semantic segmentation | — |
| Gevorg Soghomonyan | AimHub | Talk | The structure and interpretation of ML metadata | — |
| Hadi Abdi Khojasteh | — | Tutorial | Sequential Attention-Based Neural Machine Translation | — |
| Hadi Abdi Khojasteh | — | Talk | Large Scale Representation Learning In-the-wild | — |
| Hayk Aprikyan | Dowork.ai | Lightning | What can your Telegram tell about you? (Answer: Everything) | — |
| Hossein Mortazavi | — | Tutorial | How to use Pandas efficiently | — |
| Hovhannes Margaryan | KU Leuven | Talk | Classical Texture Synthesis and Beyond | — |
| Hrach Asatryan | — | Talk | Large scale field delineation | — |
| Karen Javadyan | — | Talk | Streamlit: A faster way to build and share data apps | — |
| Katherine Munro | — | Talk | Eating humble Py: From toy problem to real-world solution in predicting Customer Lifetime Value | — |
| Liana Minasyan | Polixis | Talk | Target based sentiment analysis with T5 | — |
| Luka Chkhetiani | AssemblyAI | Talk | Scaling Semi-Supervised Production-Grade ASR on 200 Languages | — |
| Manana Hakobyan | DataPoint Armenia | Lightning | Decoding Human Physiological Behaviors from Intracranial Field Potentials | — |
| Maria Sahakyan | New York University | Talk | Explainable AI as a Conventional Data Analysis Tool | — |
| Marine Palyan | IntelInAir Armenia | Talk | Moving Inference to Triton Servers | — |
| Mark Hamazaspyan | — | Talk | Using Few Shot Object Detection for Utility Pole detection from Google Street View images. | — |
| Meirav Ben Izhak | Salesforce | Talk | NetworkX - your unexcpected assistant for clustering analysis | — |
| Mher Khachatryan | — | Talk | Best practices for coding in ML/DS - Techniques to construct your project | — |
| Nacho Aranguren | — | Talk | Modern Data Stack: Optimising and Scaling Data in a tech company | — |
| Nura Kawa | neurocat | Talk | The Explainability Problem: Towards Understanding Artificial Intelligence | — |
| Ricardas Ralys | — | Talk | Using Python for the PCR design or an easy way to data analysis in life science projects | — |
| Rudolf Eremyan | Pulsar Software Limited | Talk | Building Data Pipelines on AWS | — |
| Sergey Hayrapetyan | KIT | Talk | Bachelor theses in Deep Learning: submitted to an Armenian University | — |
| Sona Hambaryan | ServiceTitan | Talk | A/B testing in production | — |
| Sona Hunanyan | Philip Morris International | Talk | Empirical determinacy of posterior location and scale in Bayesian hierarchical models | — |
| Tigran Sedrakyan | — | Talk | Grover’s quantum search for data science and why should we care | — |
| Viacheslav Inozemtsev | — | Talk | Building a Lakehouse data platform using Delta Lake, PySpark, and Trino | — |
| Vladimir Orshulevich | Unum | Talk | Semantic Multimodal Multilingual Similarity engine | — |
| Yana Khalitova | — | Talk | Exploratory Data Analysis and Feature Engineering with PySpark | — |
| Zohreh Jafari | — | Talk | Building a Streaming (E-health) Data Pipeline: When and How? | — |