Skip to content
View shahidmalik4's full-sized avatar

Block or report shahidmalik4

Report abuse

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

Report abuse
shahidmalik4/README.md

I'm a Data Analyst with 4+ years of experience at Lasani Publishers.
I work with data to provide insights that help teams make better decisions.
I also build data pipelines and analytics solutions to make working with data easier and more reliable.


🛠 Skills

  • Programming & Scripting: Python, JavaScript, SQL
  • Databases & Data Warehousing: PostgreSQL, Snowflake, Redshift, BigQuery
  • Analytics & Visualization: Power BI, Excel, Streamlit, Matplotlib
  • Analytics Engineering / ETL: dbt, ETL/ELT pipelines, Airflow, AWS
  • Frameworks & APIs: FastAPI, Django
  • Other Tools: Git, Docker, Unix/Linux, Automation

📚 Projects


📫 Connect


Pinned Loading

  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…

    2

  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 1

  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…

    1

  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…

    1

  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 1