Abhipsa Srivastava

Developed machine learning models for trend forecasting using Random Forest and XGBoost algorithms. Built and optimized deep learning models for various applications, achieving improved accuracy through hyperparameter tuning and ensemble methods.

Worked on a research project focused on deep learning model for optimizing neural network architectures for network efficiency. Build the model from scratch and implemented it using TensorFlow.
Presented the report and received positive feedback and an excellent grade for the project. This experience enhanced my research skills and deepened my understanding of deep learning techniques.

Documented events and activities of the Wikimedia Foundation, contributing to the organization's knowledge base. This role involved reading and summarizing various reports, ensuring accurate and comprehensive documentation of the foundation's initiatives and impact.
This experience enhanced my research and writing skills, allowing me to effectively communicate complex information in a clear and concise manner.