// Business & Data Analyst
Varsha
Addagulla
Business & Data Analyst with 3+ years of experience transforming complex data into actionable business insights. I build dashboards, automate reporting, and develop analytics solutions using SQL, Python, Power BI, Tableau, and AI to help organizations make confident, data-driven decisions.
About
Finance foundation. Business analytics mindset.
Business & Data Analyst with 3+ years of experience across ed-tech and media, backed by an M.S. in Business Analytics from the University of North Texas.
I earned my Master of Science in Business Analytics from the University of North Texas after completing a B.B.A. in Finance from the Indian Institute of Management and Commerce, Hyderabad. My finance background helps me understand business objectives, while my analytics training enables me to transform complex data into actionable insights.
My toolkit includes SQL, Python, Power BI, Tableau, Excel, and Looker Studio, with experience working across GA4, Google Search Console, Nielsen audience data, and business reporting datasets. I build dashboards, automate reporting, and analyze data that supports better business decisions.
During my internship at Merit Street Media, I investigated a long-standing Nielsen reporting issue, identified a broken extraction process, and improved reporting accuracy from 85% to 98%. I enjoy solving real business problems through analytics and building end-to-end data solutions.
experience
Where I've worked
Ed-tech, media, and course-platform teams — different industries, same habit of chasing a bug until the root cause makes sense.
Analyst — Web & Content Analytics
- Tracked audience and content performance in GA4 and Looker Studio, feeding weekly reporting for editorial and marketing teams.
- Diagnosed and fixed a date-range bug in Looker Studio that was quietly skewing traffic reports, cross-checking against Google Search Console until the numbers reconciled.
- Rebuilt the affected dashboards so stakeholders could trust the trend lines again, not just the totals.
Business / QA Analyst
- Worked inside Agile sprints in Jira, writing and refining user stories with engineering and product.
- Traced a defect-routing bug back to a misconfigured workflow rule and got it corrected before it recreated the same support ticket for a third sprint in a row.
- Documented the fix and the underlying process so the same defect class stopped resurfacing.
Business Analyst
- Investigated a CRM payment-status sync issue that was leaving paid enrollments marked as pending.
- Worked with the dev team to isolate the trigger and validate the fix against real transaction data before rollout.
- Used the fix as the starting point for a lightweight process check on future payment-status changes.
Projects
Building analytics solutions that solve real business problems
A collection of business intelligence dashboards, AI-powered applications, and data analytics solutions built to solve practical business challenges.
SupplierIQ
- Developed a supplier intelligence platform that centralizes supplier information, compares vendors, and supports procurement decision-making.
- Built a FastAPI backend with a React and TypeScript frontend featuring supplier search, analytics dashboards, and comparison tools.
- Designed an end-to-end application focused on improving supplier evaluation through data-driven insights.
LoanGuard AI
- Built an AI-powered lending solution that predicts borrower risk using financial and customer data.
- Applied machine learning techniques to improve loan evaluation and support data-driven lending decisions.
Wisdom Index Dashboard
- Designed an interactive Power BI dashboard to visualize income, expenses, assets, liabilities, savings, and overall financial health.
- Built KPI cards, DAX measures, drill-through reports, and interactive filters that enable users to monitor financial performance and identify spending trends.
StockPlus AI
- Built an AI-powered stock market analytics application that analyzes market trends and investment insights.
- Combined financial data analysis with interactive visualizations to help users better understand market performance.
Stock Market Sentiment Analysis
- Performed sentiment analysis on financial news using natural language processing to identify market sentiment and investment trends.
- Developed preprocessing and classification workflows using Python and machine learning techniques.
Primary Lending
- Developed a lending analytics application focused on borrower evaluation and loan decision support.
- Applied financial analytics and data-driven insights to improve lending workflows and business decisions.
certifications
Credentials
PL-300: Power BI Data Analyst
Certified in data modeling, DAX, and building production-ready Power BI reports.
SnowPro Core Certification
Certified on Snowflake architecture, data loading, and performance in the data cloud.
Generative AI in Business Strategy
Applying generative AI tools to real business strategy problems, not just prompting.
Contact
Let's Connect
I'm always interested in discussing data analytics, business intelligence, AI-powered solutions, and new opportunities. Whether you have a project, collaboration, or full-time role in mind, I'd love to hear from you.