Computer Vision

Work Done

• Developed computer vision solutions using OpenCV (an open-source library) and TensorFlow (a popular machine learning framework) for tasks like image analysis and object detection.
• Extracted insights from textual data using NLP techniques to gain a deeper understanding of user intent or feedback.
• Created system models using SysML (Systems Modeling Language) to document and visualize complex system behavior, ensuring e􀆯icient development and maintenance.
• Integrated CoreML (Apple's machine learning framework) with iOS applications, enabling on-device AI functionalities and enhancing user experiences.
• Designed and implemented statistical models for real-world healthcare data, using techniques like time-to-event analysis to understand disease progression or survival rates.
• Cleaned and categorized patient Electronic Medical Records (EMR) for data accuracy, ensuring the integrity of data used for analysis.
• Analyzed and interpreted healthcare data for research studies and publications, contributing to advancements in the healthcare field.
• Improved internal data quality projects and communication of technical results, demonstrating your commitment to data integrity and clear communication across teams.
• Analyzed user data to predict churn (customer defection) and improve retention rates, resulting in a significant reduction in churn (24% decrease).
• Implemented models for personalized user feeds, leveraging collaborative filtering or content-based filtering techniques to recommend relevant content based on user preferences, leading to an increase in daily active users (18% increase).
• Built tools for image categorization (automatically classifying products based on images) and background removal using machine learning algorithms like Support Vector Machines (SVM).
• Designed a feature using Generative Adversarial Networks (GANs) for generating complementary item outfits, a creative application of AI for enhanced user experience.
• Optimized Big-Query usage (Google's cloud data warehouse) by creating complex SQL queries and stored procedures, significantly reducing processing time and resource usage, demonstrating your ability to optimize data infrastructure for efficiency.
• Built tools for image categorization (automatically classifying products based on images) and background removal using machine learning algorithms like Support Vector Machines (SVM).