Skip to content
View amansuren's full-sized avatar
🎯
Learning
🎯
Learning
2 followers · 3 following

Achievements

Achievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: YOLO

Block or report amansuren

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
amansuren/README.md

Hi folks👋, I'm Aman

Welcome to my GitHub! I'm a Data Analyst committed to making data meaningful and accessible. I thrive on solving complex problems, uncovering insights, and contributing to data-driven strategies. My expertise spans across data cleaning, data manipulation, visualization, and storytelling, using a variety of tools and technologies.

🌟 About Me

  • 🌍  I'm based in New Delhi
  • ✉️  You can contact me at amansuren08@gmail.com
  • 🧠  I'm currently learning Matplotlib and Seaborn
  • 🤝  I'm open to collaborating on with fellow data enthusiasts to solve challenging problems.
  • ⚡  Future goal is to share my knowledge through blogging

🛠️ Skills Overview

  • Languages: Python, SQL.
  • Libraries & Frameworks: Pandas, NumPy, matplotlib, Plotly, tkinter, streamlit.
  • Tools: Tableau, Power BI (DAX), Excel (Power Query, VBA, pivot tables), Jupyter Notebook.
  • Databases: PostgreSQL, MySQL, MongoDB.
  • Data Warehouse: Google BigQuery.

📚 Projects

Welcome to my portfolio, where I showcase my project.

🌐 Connect with Me

Pinned Loading

  1. Spotify-Advanced-SQL-Analytics Spotify-Advanced-SQL-Analytics Public

    Advanced SQL project analyzing Spotify music data using PostgreSQL, including ETL pipeline, data modeling, and business insights.

  2. retail-customer-trends-analysis-project retail-customer-trends-analysis-project Public

    End-to-end retail analytics project uncovering customer behavior, sales trends, and business insights using SQL, Python, and Power BI.

    Jupyter Notebook

  3. sales-funnel-analysis-using-SQL sales-funnel-analysis-using-SQL Public

    Sales Funnel Analysis using SQL to evaluate pipeline performance, conversion rates, and revenue impact. Plans to integrate a Power BI dashboard for interactive reporting.

  4. marketing-campaign-performance-dashboard marketing-campaign-performance-dashboard Public

    A unified dashboard to track and analyze marketing campaign performance across multiple channels with actionable insights and KPIs.

  5. uber-ride-analytics-using-python uber-ride-analytics-using-python Public

    Uber trip data analysis uncovering travel patterns, peak days, and route trends using Pandas, Matplotlib & Seaborn.

    Jupyter Notebook

  6. Customer-Segmentation-RFM-analysis-Dashboard Customer-Segmentation-RFM-analysis-Dashboard Public

    Customer segmentation using RFM analysis with SQL-based data pipeline and Power BI visualization