Responsibilities included:

• Currently researching ways to use reinforcement learning to identify high-risk patient conditions and suggest the best treatments in healthcare, while also improving clinical decision-making systems to provide better, personalized care for patients.
• Applied Q-learning algorithms and reward functions to optimize traffic signal control, aiming to reduce congestion and improve traffic flow by developing a dynamic system that learns from real-time traffic patterns to enhance overall efficiency and minimize wait times at intersections.
• Performed an in-depth analysis of 22 distinct web metrics on data from the Webby Awards (2017-2022) to improve overall web page quality and identified key factors influencing web performance and user experience, driving web page optimization.
• Conducted exhaustive research and developed a framework called CJPR, designed to predict Supreme Court case outcomes and provide relevant case recommendations using NLP and transformer models to accelerate decision-making for faster judgments in complex legal scenarios.

Responsibilities include:

• Designed and implemented end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, validation, and deployment.
• Collaborated with clients from various countries to understand project requirements, define objectives, and deliver tailored machine learning solutions.
• Worked on Computer Vision, GANs and various Deep Learning Projects showcasing expertise in these domains.

Responsibilities include:

• Developed ISPSO, an optimized image segmentation method using meta-heuristic algorithms, achieving 80% segmentation accuracy. This approach leverages Particle Swarm Optimization (PSO) for enhanced precision in medical and industrial image analysis.
• Built a football match prediction model incorporating Kelly Criterion to optimize betting strategies, achieving 75% accuracy. Analyzed historical match data, odds, and team performance using machine learning for data-driven betting decisions.

Responsibilities include:

• Designed and implemented a robust Computer Vision Algorithm, leveraging OCR Tools such as PaddleOCR & EasyOCR.
• Spearheaded the design and implementation of a mathematical algorithm, resulting in a 20% improvement in system performance.
• This achievement contributed significantly to project enhancements and played a pivotal role in boosting overall operational efficiency in our research.

Responsibilities include:

• Spearheaded a project team of 3 members, overseeing the successful completion of tasks and ensuring alignment with strategic goals.
• Conducted an exhaustive analysis of the Electric Vehicle Market in India, utilizing advanced segmentation techniques and generating a predictive model.