• Analysed customer purchasing patterns, satisfaction, and payment statistics on Olist E-Commerce.• Performed data cleaning using Power Query, established relationships across 9 tables, and analysed data through visuals.• Utilized data analysis to reveal that 71.92% of total sales occurred on weekdays, signalling a distinct preference for weekday online shopping. Optimized customer experience by analysing credit card transactions, revealing that orders with credit card payments (44K) consistently received the highest review score (5), indicating increased customer satisfaction and loyalty.

- Worked on providing support to clients using our software products for attendance and payroll management.- Primary part of the job is to ensure consistency in data for cases when data got missed because of human errors or software errors.- This required writing SQL queries for removing incorrect records, adding, updating with correct values.- Took regular backups of the database to prevent data loss and restoring backups when needed. - To add employees in bulk to the software, cleaned the data in Excel files provided by the customers and uploaded it into the software. - Part of the job also required onboarding new clients and training them to use our products.

• Conducted interactive classes for high school students, focusing on Microsoft Office applications (Excel, PowerPoint) and fundamentals of web development (HTML, CSS, and database concepts).• Developed and implemented engaging lesson plans, incorporating real-life examples to enhance students' understanding and practical skills.

• Utilized Python and Django framework to modify existing APIs and develop new ones, enhancing project functionality.• Conducted API testing using Postman, ensuring robustness and reliability.• Collaborated with cross-functional teams, utilizing GitHub for version control and Jira for efficient project management.