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🎯 Ready for real-world data challenges
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🎯 Ready for real-world data challenges

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akanksha-ghadage/README.md

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Hi there, I'm Akanksha! 👋

I'm an IBM-certified Data Analyst currently pursuing my MCA (2025–2027). I specialize in SQL, Power BI, Excel and Python to extract insights and create clean, impactful dashboards.


🚀 Professional Focus

  • Designing clean, insightful visualizations with Power BI and Excel
  • Writing complex SQL queries for data exploration and trend analysis
  • Using Python for data wrangling, EDA, and visual storytelling

🧰 Skills

  • Languages & Libraries: SQL · Python · Pandas · NumPy · Matplotlib · Seaborn

  • Data Analysis & BI: Data Cleaning · Data Wrangling · EDA · Data Modeling · BI · Statistical Analysis

  • Tools & Visualization: Power BI · DAX · Power Query · Microsoft Excel · Tableau · Git · GitHub

  • Databases & Environment: PostgreSQL · MySQL · Jupyter Notebook · Visual Studio Code


📊 Best Project

Project Description Tech Stack Link
Uber Trip Analysis Visualizes key patterns in Uber trips, revenue, and travel efficiency. Power BI, DAX, Power Query Project

📜 Certificates & Credentials

  • IBM Data Analyst Professional Certificate (April 2025 - July 2025)
  • Generative AI: Enhance your Data Analytics Career (July 2025)

📫 Let's Connect!

LinkedIn

Gmail

Popular repositories Loading

  1. hr-attrition-analysis-powerbi hr-attrition-analysis-powerbi Public

    This Power Bi dashboard analyzes employee attrition trends in a company. The key insights were visualized to help identify patterns affecting employee retention.

  2. python-sql-assignments python-sql-assignments Public

    This repository contains assignments as I learn and improve my skills in data analytics.

    Jupyter Notebook

  3. akanksha-ghadage akanksha-ghadage Public

    Welcome to my GitHub profile! A quick intro to my data journey.

  4. uber-trip-analysis-powerbi uber-trip-analysis-powerbi Public

    Power BI project analyzing Uber trip data to uncover booking trends, revenue patterns, and trip efficiency using dynamic dashboards, DAX, data model, drill-through, and bookmarks.