I'm a data analytics professional passionate about transforming raw data into meaningful insights that support business decision-making.

My interests lie in data analysis, business intelligence, dashboard development, and data storytelling. I enjoy working with data throughout its lifecycle—from cleaning and modeling to visualization and insight generation.

• 📊 Skilled in Data Analysis, Business Intelligence, and Visualization
• 📈 Experienced in building interactive dashboards and analytical reports
• 🗄️ Strong foundation in SQL, Python, Excel, and Power BI
• 📉 Knowledge of Statistics, Data Cleaning, and Exploratory Data Analysis (EDA)
• 🎯 Passionate about solving business problems using data-driven approaches
• 🌱 Continuously learning and expanding my analytics and visualization skills

• SQL
• Python (Pandas, NumPy)
• Excel
• Statistics

• Power BI
• DAX
• Power Query
• Data Modeling
• Dashboard Development

• Power BI
• Excel Charts
• Business Storytelling

• Descriptive Statistics
• Inferential Statistics
• Hypothesis Testing
• Probability Distributions

Power BI | DAX | Power Query | Row-Level Security

Served as Co-Team Lead in developing an end-to-end Power BI solution using 180K+ supply chain transactions. Built interactive dashboards for profitability analysis, customer insights, geographic performance, and operational risk assessment.

Key Features

• Risk Scoring Framework
• Time Intelligence (YTD, QTD, YoY)
• Rolling 30/90-Day Analysis
• Dynamic Measure Selection
• Row-Level Security (RLS)
• Executive Dashboard Reporting

Power BI | SQL

Designed an interactive e-commerce dashboard analyzing sales performance, customer purchasing behavior, product trends, payment methods, and seasonal demand patterns.

SQL

Performed business analysis on airline operations including aircraft utilization, revenue segmentation, customer demographics, and operational performance metrics using complex SQL queries.

Excel

Built an interactive Excel dashboard using Pivot Tables, Charts, and Slicers to analyze loan applications, borrower demographics, approval trends, and credit risk indicators.

Python | Pandas | NumPy

Created and analyzed employee and seniority datasets, performed joins, aggregations, transformations, and generated accurate analytical outputs using Python.

• Data Analytics + Python Certification (Score: 79%)
• Advanced Excel for Data Analysis
• PowerBI Internship Completion

• Advanced SQL Optimization
• Python for Data Analytics
• Power BI Service & Deployment
• Business Intelligence Best Practices
• Data Storytelling Techniques

• LinkedIn: www.linkedin.com/in/haripriya-vijayakumar
• Email: haripriyacandy@gmail.com

"Data is not just numbers; it's a story waiting to be told."