Ranjith Tk Email & Phone Number

Kochi, Kl, In

Windsor, England, United Kingdom

As a Team Leader (Sales and Marketing Trainee) at Pret A Manger, I utilized AI models to drive operational efficiency by analyzing weather patterns and predicting inventory needs. I developed AI-driven predictive models that helped forecast sales, optimize product development, and reduce waste by accurately estimating demand. By integrating data visualization tools and charts, I provided real-time insights into daily operations, including resource allocation and employee scheduling. My work in analyzing trends through AI allowed the business to streamline labor hours and maximize efficiency, leading to a significant reduction in operational waste. I also collaborated with cross-functional teams to implement sales strategies based on AI-generated forecasts, ensuring that marketing and business objectives were aligned with data-driven insights.

Egham, England, United Kingdom

Acquired proficiency in diverse machine learning algorithms, employing MATLAB, R, and Python for extensive data analysis, including mining and statistics. Designed Extract-Transform-Load (ETL) pipelines and utilized Cloud Computing tools like Amazon S3, EC2, and Elastic MapReduce for scalable data solutions. Demonstrated expertise in handling structured, unstructured, and time-series data. Implemented deep learning models with TensorFlow and Keras, specializing in computer vision tasks such as image classification and object detection. Applied state-of-the-art architectures like CNNs and RNNs, solving complex problems in computer vision and natural language processing. Leveraged transfer learning techniques for improved model performance on specific tasks.

Bengaluru, Karnataka, India

At DST Retailer Solutions, I led the development of software solutions in Python and JavaScript (Angular), focusing on enhancing system performance and user experience. I played a key role in reducing system crashes by 40% through the careful selection and evaluation of third-party libraries. My contributions included leading a team to integrate vendor APIs with an existing Java Spring Boot framework, which streamlined the vendor integration process and reduced response times by 25%. Additionally, I conducted extensive data analysis on large datasets, applying machine learning models to extract actionable insights that informed business decisions for multiple vendors. Through my work in refactoring code and optimizing application performance, I contributed to a 20% decrease in bounce rates and a 30% increase in page load speed, significantly improving the user experience.