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Achievement: Starstruck

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Achievement: Starstruck

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DSKunth/README.md

My Bio

Hi there! 👋 Greetings! I am Dorothy, and here is my brief bio:

  • I'm a business analyst, and I work at the intersection of finance operations and finance systems, particularly ERPs with the goal of leveraging innovative technology solutions to optimize business processes, support data-driven decision-making, and improve operational efficiency.
  • I became interested in data science during my parental break in 2022, so I expanded my skills and explored the sophisticated technologies surrounding data. Since then, I have been learning about the convergence between machine learning, digital innovation, cloud computing, business intelligence, and data science via MOOC platforms (Udacity, DataCamp, and Coursera).
  • My favorite tools are Python, SQL, and Tableau.

Learning path:

  • Data Science:
    • Python - Pandas, Numpy, Matplotlib, Seaborn
    • R and RStudio
    • Data Pre-processing
    • Exploratory Data Analysis
    • Data Visualization
    • A/B Testing
    • Intro to Machine Learning - Supervised, Unsupervised, NLP
  • Data Engineering - Data Modelling, Database Design, Data Pipelines
  • SQL and Databases - Google BigQuery, MySQL, PostgreSQL, Cassandra
  • Business Intelligence - Power BI, Tableau
  • Tools and Technologies: Jupyter, Google Colab, PyCharm, DBeaver, Docker, Kafka, Spark, Amazon Redshift, Amazon S3, Google BigQuery, Version control (Git) & GitHub

Portfolio

  • View my portfolio of projects here.

Let's Connect!

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  1. ABC-Product-Segmentation ABC-Product-Segmentation Public

    The original dataset is a year's worth of electronics sales transactions. It has around 185K records and 11 attributes. Business Objective: Identify the products which generated 80% of profit.

    Jupyter Notebook 2 1

  2. ETL-Pipeline ETL-Pipeline Public

    This repository contains tasks on how to build an ETL pipeline for the online transaction data of an e-commerce company.

    Python 18 12

  3. Customer-Segmentation Customer-Segmentation Public

    This repository covers data extraction from Amazon Redshift, data preprocessing, exploratory data analysis, and customer segmentation based on RFM using percentile ranking and Kmeans clustering.

    Jupyter Notebook 1

  4. Deforestation-Exploration Deforestation-Exploration Public

    Create views, simple and complex SQL queries to answer questions from the fictitious ForestQuery management about the deforestation’s global situation, regional outlook, and country-level details

  5. Data-Modeling-with-Postgres Data-Modeling-with-Postgres Public

    Project tasks: create a Postgres database with tables designed to optimize queries on song play analysis,create a database schema by defining fact and dimension tables for a star schema and build a…

    Jupyter Notebook

  6. Product-Range-Analysis Product-Range-Analysis Public

    Masterschool's capstone project integrating skills and tools for data analysis.

    Jupyter Notebook