Dynamic Data Analyst skilled in handling extensive Big Data sets, proficient in SQL, Data Warehousing, and Data Mining. Experienced in utilizing Data Visualization tools such as Power BI & Tableau. Recognized for translating complex business questions into actionable insights, designing effective data-driven solutions, and adeptly communicating findings to stakeholders.
USA CAR ACCIDENT ANALYSIS |
· Conducted Exploratory Data Analysis using R and Python of 7.7 Million records with 48 categories resulting 12 attributes for data Analysis through identifying trends and patterns.
· Built a dynamic linear regression model to analyze data and used subset selection to identify relevant attributes.
· Presented findings and recommendations in a report and presentation, achieved an academic score of 97/100 for the project.
STOCK MARKET REAL TIME DATA ENGINEERING PROJECT |
· Executed an end-to-end data engineering initiative, incorporating Python, AWS, Apache Kafka, Glue, Athena, and SQL, culminating in a robust data processing pipeline for real-time stock market data analysis.
· Achieved a streamlined and efficient system, showcasing proficiency in S3 for scalable data storage, Athena for SQL-based analysis, Glue Crawler for automated data cataloging, and Apache Kafka for real-time data stream processing, enhancing overall data accessibility and analysis capabilities.
INVENTORY MANAGEMENT SYSTEM |
· Built a smart Inventory Management System with Oracle Developer and PHP, demonstrating strong SQL skills. Simplified merchandise tracking and sales processes for enhanced efficiency.
OYO DASHBOARD ANALYSIS |
· Spearheaded the development of a dynamic Power BI dashboard, leading to a 25% improvement in real-time data analysis and aligning with key performance indices, resulting in a 20% boost in overall business understanding.
· Implemented critical hospitality metrics, including RevPAR, ADR and DBRN contributing to a remarkable 30% enhancement in operational performance insights and guiding strategic decisions for a 18% increase in revenue optimization.
Cricket T20 World Cup (2022) Data Analytics Project |
· Created dynamic and interactive visualizations and dashboards using Power BI to analyze and present Cricket data, enabling effective exploration and interpretation of key metrics for informed decision-making.
· Achieved a 98% data integrity rate through advanced web scraping techniques and detailed preprocessing, ensuring robust and reliable insights.