Core Competencies: User Research, Problem Definition, Wireframing, UX/UI Best Practices, Metrics Analysis, SQL, Python, System ArchitectureData & Analytics Platforms: DOMO, Power BIProduct Design & Collaboration Tools: Whimsical, Figma

Manim Developer: Developed and optimized animations using Manim for educational content, improving clarity and engagement in lessons.Game Developer: Created and implemented single-player and multiplayer game mechanics, increasing user retention and playtime.Backend Developer: Wrote Python scripts to generate and manage data for game environments, enhancing backend performance and functionality.Data Generation: Developed automated Python pipelines to generate large datasets for game… Show more Manim Developer: Developed and optimized animations using Manim for educational content, improving clarity and engagement in lessons.Game Developer: Created and implemented single-player and multiplayer game mechanics, increasing user retention and playtime.Backend Developer: Wrote Python scripts to generate and manage data for game environments, enhancing backend performance and functionality.Data Generation: Developed automated Python pipelines to generate large datasets for game scenarios, improving testing efficiency and data accuracy.Code Optimization: Streamlined Python code for better performance and scalability, resulting in a 20% increase in processing speed.Cross-functional Collaboration: Worked with front-end developers and designers to integrate backend logic with user interfaces, ensuring smooth gameplay and user experiences. Show less

Deep Learning Research Intern: Analyzed Alzheimer's disease detection using Inception V3, a deep convolutional neural network.Data Analysis: Processed and pre-processed medical image datasets to train and evaluate the deep learning model.Model Optimization: Fine-tuned the Inception V3 network for enhanced accuracy in diagnosing Alzheimer's from medical imagery.Collaborative Research: Worked alongside researchers to apply advanced machine learning techniques, contributing to… Show more Deep Learning Research Intern: Analyzed Alzheimer's disease detection using Inception V3, a deep convolutional neural network.Data Analysis: Processed and pre-processed medical image datasets to train and evaluate the deep learning model.Model Optimization: Fine-tuned the Inception V3 network for enhanced accuracy in diagnosing Alzheimer's from medical imagery.Collaborative Research: Worked alongside researchers to apply advanced machine learning techniques, contributing to significant findings in Alzheimer's disease research.Technical Proficiency: Gained experience in deep learning frameworks and Python libraries such as TensorFlow and Keras. Show less