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Aspiring Data Analyst | Passionate About Turning Data into Insights

Data-driven fresher passionate about analyzing, visualizing, and uncovering patterns from data. Completed multiple personal projects involving data cleaning, exploratory analysis, visualization, and storytelling. Eager to apply and grow my skills in real-world data roles.

Turning curiosity into code and data into insights.


Highlights

  • Strong foundation in SQL, Python (pandas, numpy, scikit-learn, seaborn), and data visualization.
  • Experience building end-to-end personal projects: data cleaning → analysis → interactive dashboards.
  • Comfortable with PostgreSQL, Tableau, Power BI, Google Looker Studio, & AWS (basics).
  • Familiar with workflow orchestration tools like Apache Airflow, & Docker.

Programming & Scripting Languages

  • Python | SQL | MySQL | Scala | Shell Script | Markdown

Machine Learning & Data Science

  • TensorFlow | scikit-learn | pandas | NumPy | Keras

Databases & Cloud

  • PostgreSQL | AWS | Google Cloud

Visualization & BI Tools

  • Tableau | Power BI | Google Looker Studio

Workflow & Automation Tools

  • Apache Airflow | Notion | Jira

Version Control & OS

  • Git | Linux

Web Development

  • HTML | CSS | JS | React.js | Node.js | MongoDB | Express.js

Quick Tips / Callouts

  • 💼 Open to remote, on-site, or hybrid job and internship opportunities.
  • 🤝 Actively seeking collaborations on data projects and open-source analytics work.
  • 💬 Open to feedback, discussions, and networking with fellow data practitioners.
  • 🚀 Continuously learning — focused on leveling up skills to help various industries.

Contact


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