About Me
Data Analyst with experience in data cleaning, validation, preprocessing, analysis, and visualization. Experienced in Python, SQL, R, Tableau, Power BI, Pandas, and Microsoft Excel, with work on customer behavior analysi…
Data Analyst with experience in data cleaning, validation, preprocessing, analysis, and visualization. Experienced in Python, SQL, R, Tableau, Power BI, Pandas, and Microsoft Excel, with work on customer behavior analysis, dashboard development, and machine learning-based classification and clustering projects.
Experience
Data Analyst Intern
Contributed to data cleaning, validation, and preprocessing tasks, ensuring data integrity and accuracy for reliable analysis and reporting.
Analyzed over 2 millions of customer behavior data using Python, identifying key trends and providing actionable insights that led to a 20% increase in conversion rates and 15% boost in customer retention.
Developed interactive dashboards and reports in Tableau and Power BI to visualize key performance indicators (KPIs) and metrics.
Data Analyst Trainee / Temple Management System
Developed and implemented a robust Temple Management System, optimizing operations, and improving devotee experience; reduced wait times by 40% and increased overall temple revenue by 25%.
Developed a web app using Python, resulting in a 50% reduction in manual data entry and saving the team 20 hours per week.
Data Analyst Trainee / Real Estate Prediction
Spearheaded a project aiming to leverage real estate data for generating actionable insights to identify lucrative business opportunities in the ever-evolving real estate sector.
Deployed Phantombuster for efficient data collection, followed by an in-depth analysis using Python and Pandas, which identified critical market patterns and improved strategic planning efficiency by 35%.
Implemented sophisticated classification models to accurately forecast business trends, achieving a 25% increase in predictive accuracy; designed a detailed Tableau dashboard for real-time insights, improving decision-making speed by 40%.
Attained an impressive 85% accuracy on the test set, showcasing a commitment to delivering high-quality results.