Dharanee Patel

Contributed to a collaborative team effort in creating a comprehensive machine learning solution within the realm of Computer Vision. Applied deep learning techniques, including the utilization of autoencoders for both text and image data. Possess hands-on experience in Agile Methodology, handling Scrum Stories, and participating in Sprints. Took on the role of architecting solutions for projects, involving effective communication with clients. Designed and implemented a backend module, incorporating application logics into the overall development. Demonstrated expertise in developing REST APIs using Django within a Microservices-based architecture. Engaged in frontend development for web applications, utilizing JavaScript, HTML, and CSS, with foundational knowledge in frameworks like React.js.

Collaborated with a team to design option strategies and conducted thorough Backtest analysis. Led the development of architecture and designed systems for predictive analysis, crafting algorithms tailored for handling financial data. Executed financial strategies and produced insightful reports by employing statistical analysis and data visualization techniques. Demonstrated proficiency in utilizing charts and graphs to visually communicate complex information. Specialized in working with Time Series Data and analyzed large datasets, with a keen focus on developing solutions that offer actionable insights.

Evaluated the functionality and internal configurations of database systems, innovating by creating and implementing a novel data structure algorithm called h+tree for indexing in Python. Engaged in research initiatives aimed at enhancing the runtime efficiency of current machine learning models, particularly in the domain of scene text detection and recognition tasks.