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Charansunkoju/README.md

👋 Hi, I'm Sai Charan Sunkoju

🎯 Insight-Driven Data Analyst | Empowering Decisions Through Data

I'm a data-driven professional with a strong foundation in analytics, visualization, and reporting. I specialize in transforming raw data into meaningful insights that drive smarter decisions and improve business performance.

🔧 Technical Skills

  • Languages & Tools: SQL | Python | Microsoft Excel | Power BI | Looker Studio | Google BigQuery
  • Libraries & Packages: Pandas | NumPy | Matplotlib | Seaborn | BeautifulSoup | Streamlit

📊 Projects

📈 Adventure Works Data Analytics

  • Built a complete data pipeline using Python and MySQL.
  • Processed 500k+ rows and built interactive dashboards in Power BI to support decision-making.

🌍 World Happiness Report Dashboard

  • Visualized data from 150 countries using Streamlit.
  • Helped NGOs and policymakers explore cultural perspectives on happiness.

🕵️ Fake Job Posting Detection

  • Developed a machine learning model (Random Forest, 93% accuracy) to detect fraudulent job posts.
  • Built Excel dashboards to present findings for non-technical stakeholders.

🏢 Experience

Data Analytics Intern — Cloud4C Services Pvt. Ltd.
March 2024 – June 2024

  • Developed 10+ dashboards and 20+ reports in Power BI.
  • Optimized 100+ SQL queries and built a web scraping tool with Python & BeautifulSoup.

🧠 Certifications

  • Machine Learning – Internshala Trainings
  • Microsoft Excel – Udemy
  • SQL – HackerRank

📫 Let's Connect!

Data is a tool for empowerment. I build the bridge between numbers and narratives.

Pinned Loading

  1. Adventure_Works_ Adventure_Works_ Public

    Built an end-to-end data pipeline for AdventureWorks using Python, SQLAlchemy, and MySQL, processing over 100,000 rows of data. Cleaned and transformed raw data. Loaded processed data into a MySQL …

    Python

  2. World-Happiness-Report World-Happiness-Report Public

    Comprehensive analysis and interactive dashboard of the World Happiness Report, covering happiness-related data from 155+ countries. Built with Python and Streamlit, it offers engaging visualizatio…

    Python

  3. Fake-Job-Posting-Detection Fake-Job-Posting-Detection Public

    This project aspires to create a sophisticated Fake Job Posting Detection System. By leveraging the power of Python, Excel, SQL, and advanced Machine Learning techniques, specifically the Random Fo…

    Jupyter Notebook

  4. ETL-and-SQL-Analysis-for-E-Commerce-Data ETL-and-SQL-Analysis-for-E-Commerce-Data Public

    This project focuses on building an ETL (Extract, Transform, Load) pipeline using Python and MySQL to process and analyze e-commerce data. The goal is to extract data from CSV files, transform and …

    Jupyter Notebook