Vaibhav Maheshwari

I am an experienced Data Analyst with a strong background in SQL, Python, and statistical analysis. My focus is on leveraging data insights to drive business decisions and enhance performance. Throughout my career, I have successfully extracted data from e-commerce websites using MySQL queries and created reports using MS Excel. I have also utilized Power BI to find key performance indicators (KPIs) and provide data-driven solutions for better decision-making.

One of my notable achievements was spearheading a data analysis project that tracked sales KPIs, resulting in a 15% boost in revenue. I implemented advanced MySQL queries to extract critical e-commerce data, leading to a 25% increase in sales through data-driven decision-making. Additionally, I have successfully led and managed a team of 5 members, improving their efficiency and maintaining reports with a 90% on-time delivery rate.

Recently, I worked on a project focused on predictive analysis for 2030 publicly traded companies. Using exploratory analysis, data preprocessing, and modeling with Random Forest Regressor, we achieved heightened accuracy. I have also worked on an Electoral Bonds Dashboard project, utilizing Power BI for analysis, Python for web scraping, and various visualization techniques to derive insights from the dataset.