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shahidmalik4/README.md

👋 Hi, I'm Shahid Malik

I'm a Data Analyst with 3+ years of experience, currently working at Lasani Publishers.
I specialize in data analytics, visualization, and analytics engineering, turning raw data into reliable, actionable insights using modern data tools and best practices.

🙋‍♂️ About Me

  • 📊 Currently working as a Data Analyst at Lasani Publishers
  • 🏗️ Focused on analytics engineering, modern data pipelines, and cloud data platforms
  • 🎓 Holds a Bachelor's Degree in Software Engineering

I’m passionate about building scalable data solutions using the modern data stack and empowering organizations to make data-driven decisions.

🛠 Skills & Technologies

🔹 Programming & Scripting

  • Python: Pandas, NumPy, Matplotlib, Streamlit, FastAPI
  • SQL: MySQL, SQL Server, PostgreSQL
  • JavaScript, HTML/CSS

🔹 Analytics & Visualization

  • Power BI
  • Excel
  • Streamlit: Interactive data apps
  • Matplotlib: Data visualization

🔹 Analytics Engineering

  • dbt: Data modeling & transformation
  • ETL Pipelines: Data extraction, transformation, loading
  • Data Warehousing: Snowflake, Redshift, BigQuery
  • Airflow: Orchestration & workflow management

🔹 Cloud Platforms

  • AWS: EC2, S3, Redshift, Glue, Athena, RDS
  • Snowflake, BigQuery

🔹 Frameworks & APIs

  • FastAPI, Flask, Django

🔹 Other Tools

  • Git: Version control & collaboration
  • Docker: Containerization for development & deployment
  • Unix/Linux: Command-line proficiency
  • Automation: Streamlining data workflows
  • Web Scraping: Data collection for research & insights

📚 Projects

Explore some of my work:

  • 🌐 Portfolio Projects: Data analysis, engineering, and visualization showcased on my website
  • 💻 Coding Projects: Check out my GitHub repos here

📫 Connect with Me

I'm always open to connecting and collaborating. Reach out via:

Thanks for stopping by! Feel free to dive into my repositories — let’s connect over data, analytics, and building better systems. 🚀

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  1. 120-years-of-olympics-analysis-using-powerbi 120-years-of-olympics-analysis-using-powerbi Public

    The "120 Years of Olympic Games: A Comprehensive Review" project aimed to analyze historical Olympic Games data spanning more than a century. Utilizing data sourced from Kaggle, the project focused…

    2

  2. crm-analytics-using-powerbi crm-analytics-using-powerbi Public

    The "Boosting Profitability: Optimizing Sales via CRM and Analytics" project involved the extraction, manipulation, and analysis of sales data sourced from SQL Server. Utilizing MySQL for data tran…

    1

  3. pandas_marketing_campaign_analysis pandas_marketing_campaign_analysis Public

    Imagine that Freedom ran a recent marketing campaign to promote the value proposition of how the debt relief program helps people achieve financial freedom. Suppose the cost of this campaign was $6…

    Jupyter Notebook

  4. harnessing-sql-for-sales-insights-and-improvement harnessing-sql-for-sales-insights-and-improvement Public

    The "Harnessing SQL for Sales Insights and Improvement" project involved comprehensive analysis of sales data extracted from SQL Server, imported into MySQL for data preparation, cleaning, normaliz…

  5. investigating-patterns-in-120-years-of-olympic-data investigating-patterns-in-120-years-of-olympic-data Public

    The project involved the extraction, cleaning, and manipulation of Olympic Games dataset sourced from Kaggle. Using Excel for initial cleaning and MySQL for data preparation, normalization, and ana…

  6. pyspark-airflow-postgres-etl pyspark-airflow-postgres-etl Public

    This project sets up an ETL pipeline using PySpark and Apache Airflow to extract data from a PostgreSQL database, transform it, and load it into a Railway PostgreSQL cloud database. The PySpark scr…

    Python