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Achievement: YOLOAchievement: Pull Sharkx2

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Achievement: YOLOAchievement: Pull Sharkx2

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fardil-b/README.md

Hi there, I'm Fardil 👋

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Welcome to my GitHub profile!

As a Lead Data Engineer and Applications Consultant, I am passionate about transforming complex data into actionable insights. I specialize in creating advanced ETL pipelines and leveraging machine learning techniques to deliver innovative data solutions that drive strategic business decisions.

I thrive on challenges and am dedicated to continuously improving my skills in Microsoft Azure stacks, dbt, Databricks, and Python for data wrangling. My experience spans across the insurance and retail sectors, where I've successfully enabled teams to uncover critical customer insights, inform investment strategies, and enhance performance.

Collaboration and communication are at the heart of my approach. With a multilingual background, I enjoy working with diverse teams to solve complex problems and achieve shared goals.

Let's connect and create data-driven solutions that make a difference!

⚡️ A Few Quick Facts

  • 🔭 I’m currently working on Data Warehousing Projects
  • 👨🏼‍💻 Skilled in Data visualization and deriving conclusions.
  • 🌱 I’m currently learning Microsoft Azure and AWS
  • 👯 I’m looking to collaborate on anything related to ML projects
  • 💬 Open to questions about Machine Learning and projects I've worked on
  • 📫 How to reach me: Linkedin , Email
  • 📚 Looking for my Resume? E-Mail me!

dbt SQL Tableau Python Pandas R TensorFlow AWS Microsoft Azure PowerBI

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  1. Data-Integration-Pipelines-for-NYC-Payroll-Data-Analytics Data-Integration-Pipelines-for-NYC-Payroll-Data-Analytics Public

    # Create high-quality data pipelines that are dynamic, can be automated, and monitored for efficient operation.

    1

  2. Building-an-Azure-Data-Lake-for-Bike-Share-Data-Analytics Building-an-Azure-Data-Lake-for-Bike-Share-Data-Analytics Public

    The goal of this project is to develop a data lake solution using Azure Databricks using a lake house architecture

    Jupyter Notebook

  3. Azure-Data-Warehouse-For-Bike-Share-Data-Analytics Azure-Data-Warehouse-For-Bike-Share-Data-Analytics Public

    Building an Azure Data Warehouse for Bike Share Data Analytics - using Azure Synapse Analytics

    TSQL

  4. Customer_Segmentation_Arvato Customer_Segmentation_Arvato Public

    Identifying potential customers using Machine Learning

    HTML

  5. CF_SQL_Rockbuster_Stealth CF_SQL_Rockbuster_Stealth Public

    SQL queries for CareerFoundry project