taimoorsattar7/dayyass

In my spare time, I like to learn something new about Machine Learning / Deep Learning and implement different models. For more information, please visit my projects.

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

I’m currently studying for a Master’s degree in Applied Mathematics and Computer Science at Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics.
I’m also working as a NLP Tech Lead at Sber AI.

In my spare time, I like to learn something new about Machine Learning / Deep Learning and implement different models. For more information, please visit my projects.

Work experience 👔

Job Position	Company	Work Period
NLP Tech Lead	Sber AI	01.04.2021 — until now
Senior NLP Research Engineer	Tinkoff AI Lab	01.02.2021 — 01.04.2021
Middle NLP Engineer	MTS AI Lab	01.05.2020 — 01.02.2021
Junior Data Scientist	Sberbank	01.07.2018 — 01.05.2020
Research Assistant	Plekhanov Russian University of Economics	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)
• 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"

More about education in my LinkedIn.

Projects 🐾

Main

• MUSE as Service - REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder
• PyTorch NER - pipeline for training NER models using PyTorch
• Calculus of Variations - bachelor project on solving the Calculus of Variations problems

Additional

• Neural Machine Translation - pipeline for training Stanford Seq2seq Neural Machine Translation using PyTorch
• Language Modeling - pipeline for training Language Models using PyTorch
• Image Captioning - trained Image Captioning model deployed as telegram bot (currently off)
• PyTorch Tutorials - different Deep Learning tasks solved using PyTorch models
• Project Euler - solutions to Project Euler problems
• Gists - small experiments and useful functions

Contributions 💡

• GAN for Tabular Data - GANs for tabular data
• Grokking Algorithms - excellent, fully illustrated book about algorithms
• AllenNLP Guide - code and material for the AllenNLP Guide
• Simple ELMo - simple library to work with pre-trained ELMo models in TensorFlow

Skills 🛠️

• Languages: Python, SQL
• DS/ML/DL:   NumPy, SciPy, Pandas, Scikit-Learn, PyTorch
• DBMS:    Oracle (PL/SQL), MS SQL (Transact-SQL)
• Big Data:   Hadoop, Hive, Spark
• DevOps:    Linux, Git, Docker, CI

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.

Awards 🏆

• Open Data Science Best Contributor 2020
• Awesome GitHub Profile README (Category: Descriptive 🗒)

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

Github Stats ⭐