Professional Journey
My professional journey combines data science, analytics, and business intelligence,
with a focus on transforming complex data into actionable insights.
Here's a timeline of my career progression and key achievements.
Data Science Research Services, UIUC - Designing and implementing AI-powered solutions for business intelligence.
Key Achievements:
- Designed and implemented an AI-powered visualization agent using Python and Pandas, automating insights from 10K data points for a business simulation platform
- Leveraged data visualization best practices and dashboarding techniques to translate complex business scenarios into actionable insights, increasing stakeholder data accessibility by 40%
- Applied statistical analysis and data-driven methodologies to deliver interactive business intelligence solutions, resulting in a 30% improvement in user engagement and scenario analysis efficiency
Technologies:
Python, Pandas, Data Visualization, Statistical Analysis, Business Intelligence
Road Ready Wheels (Business Practicum) - Leading data analysis for aftermarket wheel business optimization.
Key Achievements:
- Analyzed $4B wheels aftermarket and developed a scoring model to rank vehicle-to-SKU segments by complexity and volume
- Recommended high-ROI investments with 200%+ projected return and improved market coverage by 54%
- Led cross-functional team to deliver strategic business recommendations based on comprehensive market analysis
Technologies:
Data Analysis, Scoring Models, Market Research, ROI Analysis
August 2024 - January 2025
Discover Partners Institute (Business Practicum) - Creating public-facing dashboards for education stakeholders.
Key Achievements:
- Built public-facing Tableau dashboard visualizing 250K Illinois school district data points, enabling key insights for 50+ stakeholders including policymakers and education leaders
- Implemented SQL-based ETL processes across 5+ data sources, reducing data inconsistencies by 15% and coordinating cross-functional delivery to meet stakeholder expectations
Technologies:
Tableau, SQL, ETL, Data Integration, Public Dashboard Development
Oxigen Services India - Leading risk analysis and fraud detection initiatives for banking operations.
Key Achievements:
- Analyzed daily transactional data for 5K banking kiosks, processing $6M+ daily to ensure regulatory compliance and fraud prevention
- Automated real-time fraud detection by replacing manual Excel reconciliation with SQL-based system, reducing detection time from 30 days to same-day and recovering $300K in fraudulent transactions
- Developed predictive fraud detection models using Random Forest and Logistic Regression, achieving 40% improvement in accuracy and 25% reduction in false positives for payment anomalies
- Built executive Tableau dashboards and SQL ETL pipelines for C-suite, reducing manual reporting by 60% and enabling data-driven risk management strategies
Technologies:
Python, SQL, Tableau, Random Forest, Logistic Regression, Risk Analysis, ETL