Data Analyst with 2+ years of experience transforming complex datasets into strategic business insights across e-commerce, HR analytics, and production domains. Delivered end-to-end analytics solutions spanning pipeline automation, dashboard development, and predictive modeling that improved operational efficiency by up to 40%. Collaborates with cross-functional stakeholders to define KPIs, uncover revenue trends, and drive data-informed decisions using SQL, Python, Power BI, and cloud platforms.
Built Python and SQL automation scripts to clean, transform, and validate 10,000+ raw records, reducing data inconsistencies by 25% and saving 8 hours of manual effort weekly.
Designed 5 interactive Power BI dashboards and Excel reports for leadership, accelerating KPI monitoring and strategic decision-making cycles by 40%.
Led weekly revenue and operations trend analysis, presenting findings to senior management that directly shaped quarterly business planning and resource allocation.
AI and ML Intern
CODERCOPS · Aug 2024 to Jan 2025
Developed and optimized machine learning models including Linear Regression and Random Forest using Scikit-learn, achieving over 85% prediction accuracy on production datasets.
Collaborated with a 5-person engineering team to deploy 4 validated ML modules into production, decreasing system runtime errors by 20%.
Created Python automation scripts for data processing workflows, eliminating 60% of redundant tasks and recovering 15 hours of engineering capacity per sprint.
Beta Tester
Datawars · Aug 2025 to Dec 2025
Evaluated 100+ data science projects on an EdTech platform, identifying 50+ critical defects that improved platform stability and user experience.
Validated Python and SQL analytical workflows for accuracy, documenting reproducible bugs with structured root cause analysis.
Accelerated bug resolution time by 20% through systematic defect reporting and close collaboration with the engineering team.
