I have created the FS (functional specification) document based on the BRD (business requirement document). I aligned the FPs (functionality points) with each business case and implemented new features according to the CR (change request) document from the customer.I have designed, developed, and maintained the Asset Finance & Leasing Modules for the Financial Application using Python and Django. The modules I developed include:- Customer Service- Commission (Dealer, Broker)- Direct Debit (Configuration)- Receivables (Rental Receipt, Early Termination, Sale-Proceed Receipt)- Payment Management- Waive Charges- Waive Overdue Interest- Business Partners (Company, Individual)- Flex Contract Calculation Engine- Index Master Data Management- Accounting Automation- Contract Management- Asset Remarketing- Asset RepossessionDuring the development cycle, I conducted unit testing for each module and integrated them with the baseline code. I also performed Integration testing to ensure the required system functionality. Additionally, I developed RESTful APIs for the company system and followed the agile methodology and best practices of test-driven development and deployment.

I pursued the Machine Learning Scientist with Python—Career Track (https://www.datacamp.com/portfolio/mzeshan) from Datacamp and worked on many machine learning projects throughout my learning journey including • Breast Cancer Classification • Directing Customers to Subscription Through App Behavior Analysis • Minimizing Churn Rate Through Analysis of Financial Habits • Predicting the Likelihood of E-Signing a Loan Based on Financial History • Credit Card Fraud Detection • Demand prediction model