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Pipeline for training LSA models using Scikit-Learn.

Home Page: https://pypi.org/project/latent-semantic-analysis/

License: MIT License

Python 94.02% Makefile 3.84% Dockerfile 2.14%
data-science hacktoberfest latent-semantic-analysis lsa machine-learning natural-language-processing nlp pipeline python topic-modeling

latent-semantic-analysis's Introduction




Hi, my name is Dani πŸ‘‹ and I ❀️ AI and Open-Source

Field of interests: AGI, NLP, RL, Graphs, Distributed Systems

My telegram channel: Cat's Shredinger

Skills πŸ› οΈ

  • Languages:Β  Python, SQL
  • DS/ML/DL: Β Β  SkLearn, PyTorch, Transformers
  • Big Data: Β Β Β Β Β  Hadoop, Hive, Spark
  • DevOps:  Β Β Β Β  Linux, Git, Docker

Work experience πŸ‘”

Job Position Company Field Work Period
Research Scientist SberDevices AGI, LLM, RLHF, GigaChat 2023-04 β€” now
NLP Team Lead SberDevices Search, Information Retrieval 2022-10 β€” 2023-04
NLP Tech Lead Sber AI Lab NLP, MLOps, Mentoring 2021-05 β€” 2022-10
Senior NLP Engineer Tinkoff AI Lab Virtual Assistant "Oleg" 2021-02 β€” 2021-04
Middle NLP Engineer MTS AI Lab NER with Pseudo-Labeling 2020-05 β€” 2021-02
Junior Data Scientist Sberbank ML with Tabular Data, CV 2018-07 β€” 2020-05

Education πŸŽ“

Projects 🐾

  • QaNER - unofficial implementation of QaNER paper (NER via Extractive 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 πŸ—£

Certifications πŸ“œ

Hackathon participation πŸ’»

Achievements πŸ†

  • Published 10 packages to PyPI with 25k+ downloads
  • Contributor to PyTorch, Scikit-Learn, SciPy
  • Open Data Science Best Contributor 2020

GitHub Stats ⭐

Dani El-Ayyass' github stats

More information in my LinkedIn πŸš€

latent-semantic-analysis's People

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