Provided data-backed consultative inputs to create business impact using SQL, Advanced Excel, and visualization tools like Tableau and PowerBI.• Performed data cleaning necessary for predictive models by accessing information from 1200+ Students. • Analyzed student data, leading to a 15% boost in satisfaction and academic performance.• Worked with educators to enhance teaching materials, boosting student engagement by 20% through datadriven curriculum improvements.• Developed and maintained dashboards and reports using PowerBI to visualize key performance metrics, cutting data analysis time by 25% and facilitating prompt decision-making.• Produced weekly and monthly reports for measuring, managing, and analyzing student performance to maximize effectiveness and optimize ROI

Project Name: Bank Loan Analysis.-Focused on their analytical needs, including identifying critical metrics and KPIs, and delivering actionable insights to relevant decision-makers.-Conducted data cleaning and improved accuracy by over 15%.-Analyzed and reported on KPIs with 95% accuracy.-Created rich interactive visualizations through data interpretation and analysis.-Boosted the bank profits through loan profitability assessments and contributed 5 ideas for the bank's growth.Project Name: E-Commerce (Olist Store Analysis)-Here, the work involves not only monitoring “ KPIs” but also taking strategic actions to improve them. This often includes optimizing the websites, marketing strategies, customer service, and logistics to enhance the overall performance of the e-commerce business.-With over 15 lakh records extracted from 9 CSV data files, my primary focus was on payment statistics and spending patterns, which ultimately led to a remarkable 20% boost in weekend sales.-Achieved 90% of orders and reduced the average delivery time.-Monitored the customer's review score and the use of payment type, which enhanced the overall performance of the e-commerce business.Project Name: Industrial Energy Use Analysis.-Through statistical analysis and visualization, I extracted meaningful insights that shed light on the factors influencing energy consumption in industrial combustion processes.-In this study, I delve into the field of industrial combustion energy analysis, utilizing a comprehensive dataset-containing 20,117 rows of information stored in a CSV file.-Initially, I performed data cleaning and preprocessing tasks, ensuring the integrity and consistency of the information.-Implemented energy-saving measures, leveraging cost-competitive fuels, promoting energy efficiency, and optimizing energy sources. This led to cost savings, reduced emissions, and increased efficiency.