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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Shreyjain203/README.md

Hi there 👋

I am Shrey Jain, a Machine Learning Engineer who is interested in creating deep learning models, deployment architecture, microservices, containers, and cloud-native technology. I encourage the use of automation wherever possible and I think that everything can be automated. I want to share everything I've learned throughout my data Journey, which is why I have started contributing actively to Medium blogs to disseminate valuable information to the broader community.

🔭 My Expertise

  • Programming and Machine Learning: Python, PyTorch, Numpy, Flask, Django, Deep Learning, SpaCy, NLP, Transformers, Large Language Models (LLM)
  • Cloud Platforms: Google Cloud Platform (BigQuery, GCE, GCS), AWS (Redshift, Athena, EC2, S3)
  • Containerization and Orchestration: Docker, Kubernetes, Google Kubernetes Engine (GKE)
  • Web Experimentation: Causal Analysis, A/B Testing, Hypothesis testing, Statistics, Quantitative Analysis, Experimental Design
  • Database Management: SQL (Postgres, MySQL, MS SQL Server), MongoDB, Hadoop, Hive, Scala, Snowflake
  • Artifact and Container Registries: Google Artifact Registry, Google Container Registry
  • Web (REST API) Development: Flask
  • Data Manipulation and Analysis: Pandas, Excel
  • Web Scraping and Automation: BeautifulSoup, Selenium, Python Automation
  • Data Visualization: Looker, Matplotlib, Seaborn, PowerBi, Tableau, Metabase
  • Version Control: Git, GitHub
  • Workflow Management: Apache Airflow, Cloud Composer, MWAA (Managed Workflows for Apache Airflow)
  • Big Data and Distributed Computing: Databricks, pyspark, Data Proc, EMR (Elastic MapReduce)
  • Others: Slack API, Cron

🌱 I’m currently learning

Machine learning and deep learning techniques to enhance my skills in developing models for various applications.

👯 I’m looking to collaborate on

  • End-to-end deployment of ML/DL models.
  • End-to-end design and implement robust data pipelines.

📫 How to reach me:

LinkedIn: https://www.linkedin.com/in/shreyjain203/

GitHub: https://github.com/Shreyjain203/

Gmail: shreyjain203@gmail.com | shrey.jain252@gmail.com

StackOverflow: https://stackoverflow.com/users/11679722/shrey

Instagram: https://www.instagram.com/befikraaaaaaaaaa/

Personal Website: https://shreyjain203.github.io/

Medium: https://medium.com/@shreyjain203

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  1. Machine-Learning-Model-to-Production-Website-using-GKE Machine-Learning-Model-to-Production-Website-using-GKE Public

    An end-to-end ML model deployment pipeline on GCP: train in Cloud Shell, containerize with Docker, push to Artifact Registry, deploy on GKE, and build a basic frontend to interact through exposed e…

    Python

  2. Wikipedia-Continual-Learning-RAG Wikipedia-Continual-Learning-RAG Public

    This repository implements a self-updating RAG (Retrograde Autoregressive Generation) model. It leverages Wikipedia for factual grounding and can fine-tune itself when information is unavailable. T…

    Python 3

  3. Spotify-recommendation-system Spotify-recommendation-system Public

    Built a Spotify recommendation system: fetched data from Spotify API, stored it on Google Cloud Storage, orchestrated with Airflow (Composer) to load into MongoDB Atlas, and developed a recommendat…

    Python 1

  4. Whatsapp-Automation-Using-Selenium Whatsapp-Automation-Using-Selenium Public

    Sending whatsapp messages using selenium and web driver.

    Jupyter Notebook

  5. Customer-churn-analysis Customer-churn-analysis Public

    Forked from sangjun927/customer-churn-analysis

    Customer Churn Analysis

    Jupyter Notebook

  6. CryptoVentureScout CryptoVentureScout Public

    Forked from IndarKarhana/CryptoProjects_recommendations

    Jupyter Notebook