DATA CLEANING IN SQL
Comprehensive data cleaning project demonstrating advanced SQL techniques for data preprocessing, validation, and transformation to ensure data quality and consistency for analytical workflows.
DATA EXPLORATION IN SQL
Exploratory data analysis using SQL to uncover patterns, trends, and insights from complex datasets through advanced querying techniques and statistical analysis.
ROAD ACCIDENT ANALYSIS IN PYTHON
Python-based analysis of road accident data using pandas, matplotlib, and seaborn to identify risk factors and create actionable insights for traffic safety improvements.
BLINKIT ANALYSIS IN EXCEL
Comprehensive business intelligence analysis of Blinkit's operational data using Excel's advanced features including pivot tables, formulas, and visualization tools.
DATA CLEANING IN PYTHON
Automated data preprocessing pipeline built with Python using pandas and numpy to handle missing values, outliers, and data inconsistencies efficiently.
BLINKIT ANALYSIS IN POWER BI
Interactive Power BI dashboard showcasing Blinkit's key performance metrics with dynamic visualizations and real-time data insights for strategic decision making.
BLINKIT ANALYSIS IN PYTHON
End-to-end data analysis of Blinkit's business metrics using Python's data science stack including statistical modeling and predictive analytics.