+
Skip to content
View gborn's full-sized avatar
1 follower · 4 following
  • Bengaluru

Block or report gborn

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
gborn/README.md

Hi there, I'm Glad Nayak👋

  • 📈 5+ years of working experience in building scalable data-pipeline for ingesting and analyzing large scale datasets using Big Data framework.
  • 🌱 I'm on track for learning more about Data Engineering, Systems Design, Cloud Architecture and Machine Learning Pipelines.
  • 🎯 I am keen to develop products that impact on a large scale. 𝙄 𝙖𝙢 𝙘𝙪𝙧𝙧𝙚𝙣𝙩𝙡𝙮 𝙡𝙤𝙤𝙠𝙞𝙣𝙜 𝙛𝙤𝙧 𝙁𝙪𝙡𝙡-𝙏𝙞𝙢𝙚 𝙟𝙤𝙗 𝙤𝙥𝙥𝙤𝙧𝙩𝙪𝙣𝙞𝙩𝙞𝙚𝙨 𝙖𝙣𝙙 𝙄 𝙖𝙢 𝙞𝙣𝙩𝙚𝙧𝙚𝙨𝙩𝙚𝙙 𝙞𝙣 𝘿𝙖𝙩𝙖 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧𝙞𝙣𝙜 𝙖𝙣𝙙 𝘿𝙖𝙩𝙖 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 𝙧𝙤𝙡𝙚𝙨
  • ✍️ In my free time, I go out to explore new places or stay in to write journals.
  • 💬 Feel free to reach out to me for pro bono consulting and volunteering, or just for some interesting discussion.
  • 📫 How to reach me: by mail, or LinkedIn
  • 😄 Pronouns: He/Him

🛠 Tech Stack

  • ► Programming Languages: Python, PySpark, SQL, shell-scripting.
  • ► Databases: MySQL, PostgreSQL, MongoDB (NoSQL), Cassandra, Amazon Redshift.
  • ► Machine Learning: Classification, Regression, Clustering, Neural Networks, Ensemble Learning, Forecasting, Dimension Reduction, Predictive modeling, CNN, GAN.
  • ► Libraries: Asyncio, Pandas, Numpy, Scikit-learn, NLTK, Requests, Matplotlib, Tensorflow, Keras, Beautiful Soup, Selenium.
  • ► Framework/Tools: Apache Spark, Spark Streaming, Hadoop, HBase, Hive, Nifi, Apache Kafka, Apache Airflow, Tableau, Git, GitHub, Bash, MS Excel, IntelliJ, Jupyter Notebooks, Flask, FASTAPI.
  • ► DevOps Tools: Docker, Kubernetes.
  • ► Cloud Technologies: Amazon Web Service (AWS), Google Cloud Platform (GCP).

Pinned Loading

  1. Real-Time-Streaming-Data-Pipeline Real-Time-Streaming-Data-Pipeline Public

    Real-Time Data streaming Pipeline to process and transform live events using Kafka, Spark Streaming, Hadoop, PostgresSQL on Docker. Live event metrics were monitored using a dashboard built with Dj…

    Python 2 1

  2. Serverless-ETL-Pipeline-on-AWS Serverless-ETL-Pipeline-on-AWS Public

    Design of an ETL Pipeline to process and transform incrementally loaded data in datalake using AWS Lambda, Glue Jobs, EMR, and Athena.

    Python 3 1

  3. Semantic-Search-Engine-Using-ElasticSearch Semantic-Search-Engine-Using-ElasticSearch Public

    A semantic search engine to find questions semantically similar to given query using Elastic Search, Tensorflow, Universal Sentence Encoder, AWS Lambda, API Gateway

    Jupyter Notebook 5 1

  4. Generating-Multiple-Choice-Questions-From-Any-Text Generating-Multiple-Choice-Questions-From-Any-Text Public

    A webapp to generate multiple choice questions (MCQs) from any Text using Google T5 model fined tuned on SQUAD dataset to generate questions, and BERT to generate distractors.

    Jupyter Notebook 1

  5. Knowledge-Based-Recommendation-of-Food-Ingredients Knowledge-Based-Recommendation-of-Food-Ingredients Public

    Project to build a knowledge graph of all food ingredients and use it to recommend similar ingredients and recipes

    HTML 1

  6. ETL-Pipeline-From-Scratch ETL-Pipeline-From-Scratch Public

    An ETL pipeline to efficiently extract, transform and load data into PostgresSQL table

    Python 1

点击 这是indexloc提供的php浏览器服务，不要输入任何密码和下载