Experienced data analyst with a proven track record of over 2.5 years in leveraging SQL and Python to drive business insights and automation efficiencies. Demonstrated expertise in digital marketing analytics across diverse industries. Skilled in building and deploying BI solutions using Power BI, Excel, and Looker. Collaborates effectively with business stakeholders to deliver data-driven solutions that address client needs and enhance operational efficiencies.
Google Advance Data Analytics
Link - https://www.coursera.org/account/accomplishments/specialization/certificate/JAYSR2A7MY25
Marketing Campaign, Python:
The primary objective is to maximize the return on investment (ROI) for our clients' advertising campaigns. We have conducted two ad campaigns, one on Facebook and the other on Google Ads, and we need to determine which platform yields better results in terms of clicks, conversions, and overall cost-effectiveness. By identifying the most effective platform, we can allocate our resources more efficiently and optimize our advertising strategies to deliver better outcomes for our clients., https://github.com/chetan78609/Marketing-Campaign
Yelp SQL Data Analysis, Python, SQL:
In a competitive market like the restaurant industry, understanding factors that influence business success is crucial for stakeholders. Utilizing Yelp dataset, this project aims to investigate relationship between user engagement (reviews, tips, and check-ins) metrics review count, ratings) restaurants., https://github.com/chetan78609/Yelp-SQL-Project
Google Advance Data Analytics
Link - https://www.coursera.org/account/accomplishments/specialization/certificate/JAYSR2A7MY25