Data Extraction & Processing: Successfully scraped and structured car inventory data from the automotive websites across the US and Canada, capturing critical vehicle specifications, pricing, and dealer information for business intelligence purposes.
Business Intelligence Reporting: Generated comprehensive business reports from data warehouse systems, delivering actionable insights through daily, monthly, and yearly analytics for the UK Data Analyst project, supporting strategic decision-making.
Workflow Automation: Designed and implemented Apache Airflow DAGs to automate end-to-end data export processes, ensuring on-time delivery of client data while reducing manual intervention
Machine Learning Implementation: Managed Website Classification Crawler using trained models to identify and predict new automotive dealer websites, improving data source discovery
Data Quality Management: Developed Python-based automated validation scripts to identify and resolve data quality issues, improving overall data consistency reducing manual QA time.
Process Optimization: Created Python automation solutions for repetitive manual tasks, streamlining workflows and achieving efficiency improvement across multiple business processes.
Key Professional Projects
US-UK Data Analysis Platform
Description: Architected and delivered comprehensive business intelligence reports from multi-terabyte data warehouse, providing critical insights across daily, monthly, and yearly timelines. Supported data-driven strategies for international market analysis.
Technologies: Python, SQL, Data Warehouse, Business Intelligence
Impact: Enabled strategic decision-making through automated reporting pipeline
Intelligent Website Classification System
Description: Developed an advanced Python solution leveraging ANN-based text classification models to analyze business domains and predict automotive-related websites. Achieved accuracy in identifying car dealership homepages.
Technologies: Python, Machine Learning, ANN, Text Classification, Web Scraping
Impact: Improved data source discovery through automated website identification
Business Field Standardization
Description: Led the configuration and standardization of critical business fields including certified vehicle classifications and dealer categorizations. Ensured accurate data mapping alignment with business logic requirements.
Technologies: Python, Data Processing, Business Logic Implementation
Impact: Achieved data mapping accuracy and improved data consistency
Neovin Support Automation
Description: Engineered automated VIN data analysis system using Python scripts to identify vehicle equipment details, options, and packages. Improved process efficiency by 70% while enhancing data accuracy through multi-source validation.
Technologies: Python, Data Analysis, Multi-source Validation, Automation
Impact: 70% efficiency improvement in VIN data processing