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prajaktakadu11/README.md

About Me

Hello! I am Prajakta Kadu.I am a passionate Data Analyst with a strong foundation in programming and data visualization. I thrive on transforming raw data into actionable insights and love leveraging technology to solve complex problems.

Skills and Tools

  • Programming Languages: Python, SQL
  • Data Visualization: Excel, Tableau, Power BI, Matplotlib, Seaborn
  • Data Manipulation: Pandas, NumPy
  • Database Management: MySQL
  • Other Tools: Git, Jupyter Notebook, Jira

Experience

Spatial Data Specialist at Here Technologies

  • Duration: May 2019 - Feb 2022

  • Responsibilities:

    • Created detailed maps and visualizations using GIS software to represent spatial data in an understandable format.
    • Perform spatial analyses and interpreted data to identify key patterns and trends, supporting strategic decision-making.
    • Collaborated with the team to prepare comprehensive reports and presentations summarizing key metrics and trends with effective data visualization.
    • Managed and maintained geospatial databases, performing regular updates and quality checks.
    • Managed projects using tools like JIRA, to create and manage tickets, ensuring effective tracking and resolution of project tasks and issues.
    • Acted as Scrum leader, facilitating Scrum ceremonies and managing team performance within an Agile environment, promoting continuous improvement.

Education

  • Master in Management Studies(IT)

    • Mumbai University, Post-Graduated: 2023

  • Bachelor of Engineering (IT)

    • Mumbai University, Graduated: 2018

How to reach me

Thank you for visiting my profile! Feel free to explore my repositories and get in touch for collaborations or opportunities.

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  1. Credit_Card_Weekly_Insights_Dashboard Credit_Card_Weekly_Insights_Dashboard Public

    Interactive Power BI dashboard analyzing 667K credit card transactions and 57M revenue to uncover customer behavior, spending patterns, and business insights.

  2. loan-default-prediction-ml loan-default-prediction-ml Public

    Built an end-to-end loan default prediction model using Random Forest, SMOTE, and threshold tuning to identify high-risk customers and reduce financial risk.

    Jupyter Notebook