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ameerahrazali/README.md

Hi, I'm Ameerah

GitHub followers GitHub stars Profile Views

I'm a Statistics graduate from Universiti Teknologi MARA with a minor in Big Data Analytics. My work focuses on data storytelling, dashboard development, and applying statistical methods to real-world problems. I’m especially interested in how people, data, and processes interact to drive meaningful change in organizations.

Areas of Focus

  • Data analysis and visualization
  • Dashboard development
  • Statistical and time series modeling
  • Data cleaning and transformation

Featured Projects

Project Tool(s) Key Techniques
MLB Analysis SQL, Tableau CTEs, subqueries, window functions, Tableau storytelling
Global YouTube Statistics R Bootstrap regression, descriptive & inferential analysis
Spotify Streaming Analysis Python EDA, classification, ROC analysis
Superstore Sales Analysis Excel, Power BI Excel 365 functions, derived metrics, Power BI integration
CPI Forecasting & Regression Python ARIMA, backward stepwise regression
Reddit Sentiment Analysis Python, NLTK VADER sentiment analysis, text preprocessing, sentiment scoring
Boston Public Safety Dashboard Power BI, Excel Interactive visuals, spatial mapping, temporal analysis

Currently Exploring

  • Machine learning for business applications
  • Dashboard storytelling for decision support

GitHub Stats

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  1. global-youtube-statistics global-youtube-statistics Public

    Exploratory and inferential R analysis of global YouTube channel data

    R

  2. boston-public-safety boston-public-safety Public

    An interactive Power BI dashboard analyzing South Boston crime data (2016–2017) for public safety insights.

  3. mlb-analysis mlb-analysis Public

    A structured SQL analysis of Major League Baseball (MLB) data using analytical queries and window functions.

  4. spotify-streams spotify-streams Public

    Analyze the most streamed Spotify songs of 2024 through EDA and balanced classification models to predict explicit content.

    Jupyter Notebook

  5. malaysia-cpi-fnab-forecast malaysia-cpi-fnab-forecast Public

    Forecasts Malaysia’s CPI for Food & Non-Alcoholic Beverages using ARIMA and lag-based regression models.

    Jupyter Notebook

  6. wednesday-offs-sentiment wednesday-offs-sentiment Public

    Sentiment analysis of Reddit comments on taking Wednesdays off using NLP, VADER, and a bit of fun.

    Jupyter Notebook