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Rakshitt27/README.md

👋 Hello, I'm Rakshit Chandna!

🚀 Data Analyst focused on data-driven strategy and cloud-based analytics solutions!

About Me 👨‍💻

I'm a passionate data analyst with hands-on experience at the Bureau of Meteorology, where I transformed complex datasets into actionable insights. My strong interest in data visualization and storytelling drives me to create impactful dashboards and reports that inform decision-making. While I have a solid foundation in machine learning, I'm also enthusiastic about leveraging cloud technologies to manage and analyze large datasets efficiently. I enjoy exploring new tools and techniques to uncover hidden patterns in data and am always eager to tackle real-world challenges through data-driven solutions.

💬 Talk to me about Latest Tech gadgets ,Table Tennis 🏓, Data-Memes 😆 and Amateur Photography 📸

🛠  Technologies and tools

Python R Mysql PowerBI Tableau Postgres Sqlite Rstudio Jupyter SAS Excel Minitab

Connect with me:

rakshit-chandna rakshitt27

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  1. Subway-Sales-Analysis-Dashboard Subway-Sales-Analysis-Dashboard Public

    Turned my experience at Subway into a personal data project—went from making sandwiches to creating a comprehensive sales analysis dashboard, uncovering insights on product trends, customer behavio…

  2. Story-telling-with-open-data Story-telling-with-open-data Public

    This Story-board analyzes Australian mortality trends from 2011 to 2021, focusing on causes of death and demographic factors using data from ABS and AIHW.

    1

  3. Predictive-Analysis-of-IBM-Employee-Attrition-and-Performance Predictive-Analysis-of-IBM-Employee-Attrition-and-Performance Public

    Predictive analysis of employee attrition using machine learning on the IBM HR dataset to identify patterns and enhance employee retention strategies.

    HTML

  4. COVID-19-Global-Vaccination-Data-Analysis COVID-19-Global-Vaccination-Data-Analysis Public

    The database ise related to tracking and managing COVID-19 vaccination data. It consists of tables storing information such as vaccination records, vaccine types, geographical locations, and data …

  5. Movie-Recommender-System Movie-Recommender-System Public

    Explore MovieLens 1M Dataset for movie ratings. Split data into training/testing sets, build Collaborative Filtering recommendation system, and uncover insights for personalized movie suggestions.

    Jupyter Notebook 1

  6. Time-Series-Analysis-and-Forecasting Time-Series-Analysis-and-Forecasting Public

    The report analyzes time series data to forecast mortality, FFD, and RBO, incorporating climate indicators and the impact of the Australian drought from 1996 to 2009.

    1