1. Electronic Customer Dossier:
● Developed and maintained an electronic customer dossier system for the organization.
● Integrated existing data and systems to ensure unified and centralized access to customer information.
● Designed a user interface with a focus on data security and confidentiality requirements.
● Optimized customer data management processes, improving efficiency and accuracy in documentation.
Technologies: Python 3.8, Django 3.2, Numpy, Redis, Celery, Docker, PostgreSQL, HTML, CSS.
2. Employee Complaints:
● Developed and implemented a system for efficient handling of employee complaints within the organization.
● Created mechanisms for registering, tracking, and analyzing employee complaints.
● Integrated with existing Human Resource Management HRM systems to automate complaint registration and notify relevant parties.
● Designed a user-friendly interface that allows employees to easily submit complaints and receive feedback on their resolution.
● Generating PDF or Word file with dynamic data
Technologies: Python 3.10, Django, DRF, Redis, Celery, Docker, PostgreSQL, Docxtpl, Simple-jwt.
3. Telegram Bot for Technical Employee Support:- Created and deployed a Telegram bot to provide fast and effective technical support for employees.
● Integrated the bot with a knowledge base and incident management system to automatically provide answers to frequently asked questions and troubleshoot issues.
● Developed functionality for incident status notifications and the ability to track the progress of employee inquiries.
● Implemented authentication and authorization mechanisms to ensure data security and protection.
Technologies: Python 3.8, Django 3.2, DRF, PyTelegram, Docker, PostgreSQL, MPTT.
4. Employee Day Offs Management System: A employee day offs management system for our company. This system is designed for efficient management and transparent distribution of leaves among the team.
● Registration and tracking of leave requests with the option to specify reasons and dates.
● Used algorithms for the automatic calculation of available leaves based on working hours and other parameters.
● System sends notifications to employees and managers about the status and decisions on leave requests.
● Ability to view statistics, charts, and reports on leave usage.
Technologies: Python 3.8, Django 3.2, DRF, Docker, PostgreSQL, django-auth-ldap, Openpyxl, Django rest framework, Simple-jwt.