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Achievement: Arctic Code Vault Contributor

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Achievement: Arctic Code Vault Contributor
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pm831/README.md

Hi there I'm P.J.! 👋

Pujan Malavia (P.J.) is a versatile and innovative Senior Data Analytics Professional with an M.S. in Analytics & Data Science and over 8 years of applied experience in ETL, data architecture, data modeling, data warehousing, data analytics, and data visualization across various legacy business intelligence and modern cloud platforms.

Skills:

SQL, Python, AWS, Azure, PowerBI, Tableau, Git, GitHub, Snowflake, DBT, Airflow, Spark/PySpark, Hadoop, Databricks, Kafka, JIRA, PolicyCenter, ETL Data Pipelines, Data Architecture, Data Modeling, Data Warehousing

  • I'm always open for freelance gigs and contract based opportunitites.
  • I'm looking to collaborate and create some cool data analytics & engineering content that we can share with the community.
  • You can find various data analytics & engineering projects on my profile.

Feel free to connect with me on LinkedIn!

Recent Linkedin Articles:

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  1. chicago-crime-severity-modeling chicago-crime-severity-modeling Public

    Chicago Crime Data Visualization & Analysis - Building a model to predict severity of the crime based on specific factors

    Jupyter Notebook 2

  2. customer-dispute-rate-prediction customer-dispute-rate-prediction Public

    US consumer complaints on financial products and company responses; Build a model to predict customer dispute rates

    Jupyter Notebook 1

  3. insurance-classification-model insurance-classification-model Public

    Insurance Classification Task based on numeric variables

    R

  4. porto-seguro-safe-driver-prediction porto-seguro-safe-driver-prediction Public

    Predict if a driver will file an insurance claim next year.

    Jupyter Notebook

  5. prudential-life-insurance-risk-modeling prudential-life-insurance-risk-modeling Public

    Building a predictive model that accurately classifies risk

    R

  6. uber_datawarehouse_data_modeling uber_datawarehouse_data_modeling Public

    Building a Uber Data Model for Data Warehousing

    Jupyter Notebook