Yugendar Bandlamudi

I have 1 year of experience in kfintechnologies limited with projects of

• The Python/SQL MailerInstead of just saying "developed a mailer," you can describe it as an Automated Stakeholder Notification System.The Impact: You likely ensured that thousands of investors or internal stakeholders received real-time updates without manual intervention.The Tech: Mentioning how Python (likely smtplib or an API) integrated with SQL queries to pull dynamic user data shows you can bridge backend data with frontend communication.2.

Bulk Data

ProcessingHandling IPO data means dealing with "bursty" traffic—huge volumes of data in a very short window.Optimization: Did you use SQL indexing, stored procedures, or Python libraries like Pandas to speed things up?Accuracy: You mentioned "making it correct." This implies you built Validation Logic or Data Integrity Checks to catch errors before they hit the system.3.

Workflow

AutomationBy reducing processing time, you likely improved the company's "Time-to-Market" for IPO allotments or filings.

Btech(CSE)