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sajjad425/README.md

📊 Data Analyst | Business Intelligence Developer

👨‍💻 About Me

🎓 Bachelor's in Computer Science
📍 Based in Pakistan
📊 Junior Data Analyst with Business Intelligence experience

I specialize in transforming raw and complex datasets into meaningful dashboards and actionable insights.

With hands-on experience in Power BI, SQL, Excel, Python, and ETL processes, I build optimized data models, automate reporting workflows, and design KPI-driven dashboards that support business decision-making.

I am passionate about solving real-world business problems using data and continuously improving my analytical and technical expertise.

💼 Professional Experience

🏢 Junior Data Analyst – Garibsons Pvt Ltd

  • Developing advanced Power BI dashboards using DAX & Power Query
  • Designing efficient data models
  • Building KPI reports for management
  • Automating reporting workflows

🏦 Data & BI Engineer (Intern) – Dubai Islamic Bank

  • Worked in MIS & BI Engineering team
  • Queried data using Oracle PL/SQL
  • Developed BI reports in Power BI

📊 Business Analyst (Intern) – Scit Forte

  • Assisted in requirement gathering
  • Supported reporting and analytical tasks

🔥 What I'm Currently Working On

  • Advanced Power BI dashboards with performance optimization
  • SQL query tuning & relational database concepts
  • Python-based data analysis & mini machine learning projects
  • Improving ETL workflows

🛠️ Tech Stack

📊 Data & BI Tools

🎯 Professional Focus

I aim to build scalable and efficient data solutions that bridge the gap between raw data and strategic decision-making.

My focus is on delivering high-impact dashboards, improving reporting efficiency, and applying analytical thinking to solve business challenges. I am continuously learning and striving to grow into a senior-level data professional with strong expertise in business intelligence and analytics.

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  1. edaIPL edaIPL Public

    The dataset covers the Indian Premier League (IPL) with details on matches (date, teams, venue, results), player stats (runs, wickets), team stats (wins, losses), season summaries, and umpire info.…

    Jupyter Notebook

  2. bike-share bike-share Public

    Unraveling bike-sharing insights! Explored annual vs casual rider behaviors, visualized with RStudio. Recommendations for boosting memberships shared. Let's pedal towards success! 🌐📊

    HTML

  3. kmeans_clustering kmeans_clustering Public

    The dataset includes the following columns: Id, SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm, and Species. We will use the Sepal and Petal measurements to predict the optimum number of …

    Jupyter Notebook

  4. linearRegression_ml linearRegression_ml Public

    In this regression task we will predict the percentage of marks that a student is expected to score based upon the number of hours they studied. This is a simple linear regression task as it involv…

    Jupyter Notebook

  5. ufo_sights ufo_sights Public

    Hey there! Ever wondered where UFOs like to chill? Check out my UFO Sightings Dashboard! I crunched data on locations, durations, and craft shapes. Use Tree Map, Combo Chart, Area Chart, Column Cha…

  6. retail-EDA retail-EDA Public

    Perform the Exploratory Data Analysis on dataset sample superstore. As a business manager try to find out the weak areas where you can work to make more profit. What all business problem you can de…