arnaudlionellozahic / dayyass

Hi, my name is Dani 👋 and I ❤️ open-source

• NLP Tech Lead at Sber AI Сenter
• Master Student at CMC MSU

Field of interests: NLP, RL, Graphs, MLOps

Skills 🛠️

• Languages:   Python
• DS/ML/DL:    NumPy, SciPy, Pandas, Scikit-Learn, PyTorch
• RDBMS:      MySQL, PostgreSQL, Oracle, MSSQL
• Big Data:    Hadoop, HDFS, MapReduce, Hive, Spark
• DevOps:     Linux, Git, Docker, CI

Work experience 👔

Job Position	Company	Field	Work Period
NLP Tech Lead	Sber AI Сenter	NLP, MLOps, Mentoring	01.04.2021 — until now
Senior NLP Engineer	Tinkoff AI Lab	Virtual Assistant "Oleg"	01.02.2021 — 01.04.2021
Middle NLP Engineer	MTS AI Lab	NER with Pseudo-Labeling	01.05.2020 — 01.02.2021
Junior Data Scientist	Sberbank	ML with Tabular Data, CV	01.07.2018 — 01.05.2020
Research Assistant	Plekhanov RUE	Research in DS, ML, Big Data	01.12.2018 — 01.01.2020

More about work experience in my LinkedIn

My solutions for Home Assignments for Machine Learning Job Interviews: link

Education 🎓

• Master’s degree in Applied Mathematics and Computer Science at Lomonosov Moscow State University (2019 - 2022)
  • Coursework: "Prior knowledge layer for sequence tagging"
• Bachelor's degree in Applied Mathematics and Computer Science at Plekhanov Russian University of Economics (2015 - 2019)
  • Diploma thesis: "Assessment of credit organizations borrowers' default rate"
  • Calculus of Variations - bachelor project on solving the Calculus of Variations problems

More about education in my LinkedIn.

Projects 🐾

• QaNER - unofficial implementation of QaNER paper (NER via Question Answering)
• RLLib - reinforcement learning library
• MUSE as Service - REST API for sentence embedding using Multilingual Universal Sentence Encoder
• PyTorch NER - pipeline for training NER models using PyTorch
• Text Classification Baseline - pipeline for building text classification TF-IDF + LogReg baselines
• Graph-Based Clustering - clustering using graph connected components and spanning trees

Public talks 🗣️

• Web-Service for Sentence Embeddings @ Sberloga
• Git Hooks Is All You Need @ Sberloga
• How to start a career in DS @ REU Data Science Club

Certifications 📜

DS/ML/DL

• Introduction to Machine Learning @ Coursera
• Supervised Learning @ Coursera
• Introduction to Deep Learning (with honors) @ Coursera
• Bayesian Methods for Machine Learning (with honors) @ Coursera
• Practical Reinforcement Learning (with honors) @ Coursera

DevOps

• Introduction to Linux @ Stepik
• Version Control with Git @ Coursera
• Hadoop. System for processing large amounts of data @ Stepik

More certifications in my LinkedIn.

Conference participation 📈

• IX International Scientific and Practical Conference named after A.I. Kitov "Information Technologies and Mathematical Methods in Economics and Management" (website and certificate)
• Deep and Machine Learning methods for document clustering and classification tutorial in frames of The XXIII International Scientific Conference of Young Scientists and Specialists (AYSS-2019) (website)

Hackathon participation 💻

• Synthetic Health Data Hackathon 2020 Alzheimer's MRI Analysis

Achievements 🏆

• Published 7 packages to PyPI
• Contributor to SciPy, Scikit-Learn, PyTorch
• Co-author of Quantum Machine Learning Community Course
• Open Data Science Best Contributor 2020
• Awesome GitHub Profile README (Category: Descriptive 🗒)

Github Stats ⭐