Implemented advanced analytics and machine learning solutions to optimize business operations. Developed predictive models for sales forecasting and customer behavior analysis. Built robust data pipelines and APIs for seamless data integration and processing. Collaborated with stakeholders to translate business requirements into technical solutions.
Contributed to both front-end and back-end development, ensuring scalability and responsiveness. Developed and integrated AI-driven features. Worked closely with design and operations teams to implement and iterate features based on user feedback.
Currently pursuing a Master of Science in Computer Science at Julius-Maximilians-Universität Würzburg, with a focus on software development, computer vision, and artificial intelligence. The program offers a comprehensive curriculum that includes advanced topics in algorithmics, software engineering, intelligent systems, and machine learning.
Enhanced the Data Management System (DMS) project by implementing new features, improving user workflows, and optimizing system performance to better meet user requirements. Contributed to the Weather Report project by implementing additional features, optimizing speed and performance using Next.js, and redesigning the database schema for efficient data storage and retrieval. Developed the Water Level Analysis project , which visualizes river data through interactive maps and charts, enabling real-time monitoring and analysis of water levels.
Managed and sanitized collected data to facilitate the distribution of Social Security Fund benefits, ensuring accuracy and compliance with regulatory requirements. Additionally, designed and delivered a 3-month ICT training program for metropolitan and ward employees, enhancing their technical proficiency in data management and digital workflows.
Completed a comprehensive program covering core computer science concepts, software development, and IT applications. Key areas included data structures, algorithms, databases, operating systems, and networking. Gained practical skills in web development HTML/CSS/JavaScript, backend frameworks Python, and database design SQL.
AI-powered background removal tool using U2NET (4.7MB). Fast, real-time image processing with high accuracy and minimal resource requirements.
Real-time water level monitoring system with interactive visualizations. Built with Django and Mapbox GL JS for efficient data processing and dynamic mapping.
Feel free to reach out for collaborations or just to say hi! santoshadhikaripremi@gmail.com