Poondla Chandra Prabhas Prince
Aurora,IL
Summary
Business Analyst with 3+ years of professional experience delivering data-driven insights and business solutions. Strong expertise in requirements gathering, stakeholder management, SQL analysis, dashboarding, and Agile delivery. Proven ability to translate business needs into actionable analytics using Python, SQL, Tableau, and Power BI.
Overview
3
3
years of professional experience
4
4
Certifications
Work History
Business Analyst
IT Services & Analytics Firm
Hyderabad, Telangana
07.2020 - 11.2023
- Gathered and documented business and functional requirements by working closely with stakeholders
- Created BRDs and FRDs for analytics, reporting, and operational improvement initiatives
- Analysed large datasets using SQL and Excel to identify trends, inefficiencies, and improvement opportunities
- Designed and delivered Tableau and Power BI dashboards for sales, operations, and customer insights
- Collaborated with developers and data engineers to ensure accurate implementation of business logic
- Supported UAT testing, validated reports, and resolved data quality issues
- Worked in Agile/Scrum environment, including sprint planning, stand-ups, and retrospectives
Key Achievements:
- Reduced manual reporting effort by 25% through dashboard automation
- Improved decision-making speed with real-time KPI dashboards
- Standardised KPI definitions, improving reporting consistency across teams
Education
Master of Science - Business Analytics
Lewis University
Romeoville, IL01-2025
Skills
Business Analyst
Requirements Gathering
BRD
FRD
Stakeholder Management
Business Process Mapping
Gap Analysis
Root Cause Analysis
Use Cases
User Stories
UAT
SQL
MySQL
PostgreSQL
Advanced Excel
Data Analysis
Data Validation
KPI Reporting
Tableau
Power BI
Dashboard Development
Python
Statistical Analysis
Forecasting
Agile
Scrum
Jira
Certification
Google Data Analytics Professional Certificate
Projects
Predictive Analytics for Customer Retention
- Built churn prediction models using Logistic Regression and Random Forest
- Performed data extraction and preprocessing using SQL and Python
- Delivered insights to identify high-risk customers and improve retention strategies
Sales Forecasting & Performance Dashboard
- Developed time-series forecasting models to predict sales trends
- Created dashboards showing actual vs forecasted performance
- Enabled data-driven planning and revenue optimization
Real-Time Sentiment Analysis
- Developed a web-based analytics solution using Flask, React, and MongoDB
- Applied NLP techniques to analyze unstructured social media data
- Visualized sentiment trends to support marketing and brand decisions
Timeline
Business Analyst
IT Services & Analytics Firm
07.2020 - 11.2023
Master of Science - Business Analytics
Lewis University