Nandini Daggumalli

As a software engineer specializing in Python, Java, and machine learning, AI coupled with a master's degree in computer science, and deeply passionate about leveraging technology to transform educational experiences. With a keen interest in educational technology startups, and strive to create innovative solutions that revolutionize learning paradigms and foster meaningful impact in the field of education.

Microsoft Azure for Data Engineering( September 2023)

Building Laborer Management System: Developed a real-time Building laborer Management System website, enabling builders to post job requirements and workers to discover opportunities.Ensured a comprehensive solution for seamless builder-worker collaboration.

Infelearn E-leaning web portal : Spearheaded the development of an interactive e-learning platform website utilizing tools such as (HTML, CSS, JavaScript) and java with Spring Boot for the scalable backend. 

Automated Data Pipe line for Financial Reporting: Developed an Automated Data Pipeline for Financial Reporting using Python and Apache Airflow. Integrated data extraction, transformation, and loading processes, ensuring seamless and timely delivery of accurate financial reports. 

Multiclass Prediction Model for Student Grade Prediction: A multiclass prediction model for student grade forecasting, combining advanced machine learning algorithms such as XGBoost and neural networks. 

Fake Online Review Detection (Machine Learning): Implemented an ensemble of machine learning models, including Random Forest and Gradient Boosting, to enhance the accuracy of detecting fake online reviews. 

Go Game: Implemented the Go game application using Python for the backend logic, Pygame for the graphical user interface, and Git for version control. Employed encryption algorithms for security, . Conducted vulnerability assessments using tools like OWASP ZAP to fortify the application against potential security threats.