GitHub

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