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Hi there, I'm Sudip! 👋

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I'm a Data Engineer turned Software Engineer who loves building and working with data pipelines. My latest project enables people to migrate data from a Data-warehouse to Data Lakes and later analyze them on the cloud. Right now, I'm pursuing MS in Data Science to explore my passion in the Data Science domain.

  • 🥅 2020 Goals: Contribute more to Open Source projects
  • 😄 Pronouns: He/His
  • ⚡ Skills

**Programming Languages: Java (Object Oriented Programming), Python, R

**Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), DataBricks

**Database: Oracle SQL/PLSQL, PostgreSQL, MySQL, Cassandra, Amazon Redshift, Google BigQuery

**Big Data Tools: Spark SQL, AWS EMR (Elastic Map Reduce), AWS Athena, MapReduce

**Software: Informatica PowerCenter 10.x, Tableau, TensorFlow, Apache AirFlow

**DevOps Tools: Docker, Kubernetes, GitHub, Ansible, Chef, Maven

**Data Science: Machine Learning, Exploratory Data Analysis, Data Mining, Statistical Modelling & Analysis (ANOVA & Hypothesis Testing), Deep Learning

Twitter: SudipPadhye Linkedin: sudippadhye GitHub sudip-padhye



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Sudip Padhye's Projects

arviz icon arviz

Exploratory analysis of Bayesian models with Python

data-lake-using-pyspark icon data-lake-using-pyspark

Data Lake hosted on the AWS EMR cluster with S3 buckets used as source and output storages. The analysis was done using AWS Athena.

e-commerce-website-analytics icon e-commerce-website-analytics

E-commerce website analysis using details about daily new customers, web-visits, views, orders, sales, etc. for each platform.

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