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Angelinejebitha/README.md

Hi, I'm Angeline Jebitha πŸ‘‹

🎯 Aspiring Data Analyst | HR Analytics Enthusiast

πŸ’Ό 3+ years experience in Human Resource (Recruitment & Data Handling)

πŸ“Š Passionate about turning data into meaningful insights

βš™οΈπŸ’» Skills & Tools

Technical Skills

  • Data Visualization: Power BI, Dashboarding
  • Data Analysis: Data Cleaning (Wrangling), Data Transformation, Exploratory Data Analysis (EDA), Insight Generation
  • Programming: Python (Pandas, NumPy, Matplotlib)
  • Database: SQL (MySQL)
  • Data Preparation: Power Query
  • DAX: KPI Measures, Calculated Columns, Aggregations

Soft Skills

  • Analytical Thinking
  • Problem Solving
  • Communication
  • Attention to Detail

πŸ“ Projects

Employee Attendance Analysis

  • Developed an interactive dashboard to analyze attendance data of 80+ employees over a 3-month period
  • Created DAX measures for Attendance Rate, WFH Share, and Sick Leave Rate
  • Visualized trends in attendance, remote work, and absenteeism patterns
  • Performed employee-level and day-wise analysis to identify workforce behavior
  • Extracted insights to support HR decision-making and workforce planning Tools: Power BI, DAX, Data Wrangling, Power Query GitHub: https://github.com/Angelinejebitha/employee-attendance-analysis

Financial Behavior & Expense Analysis

  • Created an interactive Power BI dashboard to analyze financial data from Mar 2025 – Feb 2026
  • Cleaned and transformed raw data using Power Query, handling missing values and inconsistencies
  • Developed DAX measures such as Total Income, Total Expense, Net Savings, Spending Ratio, and Savings Rate
  • Designed visualizations to track income vs expense trends, monthly savings patterns, and category-wise expense distribution
  • Identified key insights such as high-spending categories and low-savings periods
  • Performed data aggregation and validation using SQL (GROUP BY, CASE WHEN, filtering) to verify dashboard KPIs
  • Conducted exploratory data analysis using Python (Pandas, NumPy, Matplotlib) to identify spending patterns and trends
  • Validated financial metrics across SQL, Python, and Power BI to ensure data consistency and accuracy
  • Built an end-to-end analytics workflow from data cleaning (Power Query) to analysis (SQL/Python) and visualization (Power BI) Tools: Power BI, DAX, Power Query, SQL (MySQL), Python (Pandas, NumPy, Matplotlib) GitHub: https://github.com/Angelinejebitha/financial-behavior---expense-analysis

πŸ”— Connect with me

I am actively seeking opportunities as a Data Analyst / HR Analyst

Pinned Loading

  1. employee-attendance-analysis employee-attendance-analysis Public

    HR Analytics Dashboard using Power BI | Attendance, WFH Trends & Workforce Insights

  2. financial-behavior---expense-analysis financial-behavior---expense-analysis Public

    Power BI Financial Dashboard | Expense & Savings Analysis

    Jupyter Notebook