Data Analyst Trainee with practical experience at MercuryMinds in data engineering, backend API development, and AI-driven applications. Strong proficiency in Python, MySQL, Flask, Pandas, Polars, and Playwright tool, with hands-on experience in RAG pipelines, vector databases Qdrant, and automated web data extraction. Adept at designing scalable data workflows, building RestAPI’s, and converting complex datasets into meaningful business insights.
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• Cleaned, transformed, and consolidated large datasets using Excel, Python, Pandas, and Polars for analytics and backend workflows.
• Collected data through web scraping and automation using Playwright, N8N, and Crawl4AI.
• Developed and maintained backend REST APIs using Flask, Python, and MySQL for data-driven applications.
• Built automated data pipelines and stored structured data and embeddings in MySQL databases and Qdrant.
• Performed API testing, debugging, and validation using Postman, ensuring reliability and data consistency.
• Optimized backend and data processing performance by refactoring code, migrating Pandas to Polars, and improving query efficiency.
• Improved code quality and maintainability by resolving SonarQube issues, reducing cognitive complexity.
• Worked with MongoDB, and managed Docker-based services.
• Monitored sales calls and customer interactions to ensure quality standards, provided feedback for process improvement, and analyzed student feedback to enhance customer satisfaction. ensured compliance with sales guidelines and collaborated with teams to optimize sales strategies
• Handled end-to-end sales, from outreach to enrollment, by understanding customer needs, addressing objections, and closing through negotiation and followups. Maintained customer relationships for referrals and tracked leads and conversions.
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