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99sbr Goto Github PK

followers: 55.0 following: 23.0 repos: 54.0 gists: 16.0

Name: Subir

Type: User

Company: Tokopedia

Bio: Principal Data Scientist

Location: Bengaluru

Blog: https://99sbr.github.io

Hey there

🤓 About Me

Passionate and Self-taught Data Scientist. I have been working in the Field of Data Science since 2016. Always engaged in learning and self-improvement. Part time Quoran and enjoy some of my time watching TV Series. A Marvel Fan.

A little more about me...

hyperparameters = {
  pronouns: 'he' | 'him',
  code 👨🏼‍💻: ['Python', 'Pyspark', 'R', 'Scala'],
  tools ⚒: ['Elasticsearch', 'Mongodb/Cassandra/Redshift', 'FastAPI/Flask',  'Docker'],
  architecture 👨🏻‍🏫: ['microservices', 'serverless',  'event-driven', 'design system pattern'],
  cloud ☁️: ['AWS-EC2', 'AWS-Elasticsearch', 'AWS-Lambda', 'AWS-Sagemaker','Azure'],
  area of expertise: ['Unsupervised - Topic Modelling, Clustering, KNN','Document - Computer Vision',
                      'Object Detection', 'Named Entity Recognition', 'Question-Answering Systems',
                      'Text Generation and Summarisation', 'Neural - Semantic Search','Reinforcement Learning - Qlearning']
}

📈 My GitHub Stats

I love connecting with different people so if you want to say hi, I'll be happy to meet you more! :)

Subir's Projects

ocr-service-restapi

opencv

Open Source Computer Vision Library

pandas

predictive-customer-analytics

Understanding the customer life cycle Acquiring customer data Applying big data concepts to your customer relationships Finding high propensity prospects Upselling by identifying related products and interests Generating customer loyalty by discovering response patterns Predicting customer lifetime value (CLV) Identifying dissatisfied customers Uncovering attrition patterns Applying predictive analytics in multiple use cases Designing data processing pipelines Implementing continuous improvement

programming

personal repo where i learn and save my dsa works

pytorch_tutorials

Pytorch Basic Tutorials for beginners

rasa-chatbot-templates

RASA chatbot use case boilerplate

recommender_transformer

recommenders

Best Practices on Recommendation Systems

scraping

scrapy-spider

This is a basic web crawler developed using Spider class.

semantic-search-with-sbert

Build Semantic Search with S-BERT and Fine-tune your model in unsupervised way

sentiment-analysis-web-app

Sentiment Analysis Flask-Restplus based Web app. The backed model is BERT powering the classification Engine.

sentimentanalysis

Bag of Words mOdel

spark-with-python

statistics_with_python

tensorflow-build

TensorFlow binaries supporting AVX, FMA, SSE

tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

textsummarisation

TextSummarisation with BERT

thaiane

time-series-classification-and-clustering

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside

unilm

UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

wellness-check-bot

A simple Rasa assistant that uses forms to conduct a daily health survey

1

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