appsilon.com

Design and deploy a flexible, user-friendly contact form coupled with an automated response system and inquiry tracking dashboard to enhance customer engagement and operational efficiency.

Design and implement a web-based contact form platform with automated confirmation workflows, inquiry tracking, and data management functionalities to streamline customer communication.

Design and implement an integrated data analytics system that supports data ingestion, processing, visualization, and real-time reporting tailored for enterprise needs.

Design and deploy a fully compliant, scalable data science environment with automated setup, migration, and integration capabilities, supporting ongoing operations and future growth.

Design and implement a modular, open-source SDK for exploratory data analysis in clinical trials, featuring data filtering, analysis modules, automated report generation, and integration capabilities.

Build a modular, scalable web application that enables healthcare planners to model policies, analyze impacts through customizable scenarios, and interact with complex, large datasets efficiently.

Design and develop a customizable contact form with real-time validation, instant acknowledgment, and CRM integration, ensuring secure data handling and responsive performance.

Development of internal web-based applications to visualize and analyze clinical or scientific data, with optimized performance and seamless collaboration features, deployed on enterprise platforms.

Development of an internal analytics and reporting platform that automates generation of GxP compliance documents, provides real-time data validation, and delivers comprehensive, customizable reports with enhanced user experience.

Design and develop an interactive, extensible analytics platform that supports data integration, feature selection, predictive modeling, patient clustering, and explainability features within a user-friendly interface.

Development of an internal analytics dashboard comprising data collection, processing, and reporting capabilities, with automation supporting regulatory compliance and application scalability.

Design and develop an integrated system comprising a package management tool, automated deployment infrastructure, and documentation site, tailored to support scalable, reproducible, and standardized data science workflows.

A flexible, user-friendly platform enabling data integration, advanced visualization, statistical analysis, geospatial mapping, and machine learning-based predictions for health disparities research.

A computational system that processes RNA and ligand structural data, computes interaction features, and uses advanced neural networks (e.g., transformer architectures) to predict binding interactions with variable-length RNA sequences. The platform should support training, validation, and deployment of predictive models, with capabilities for high-throughput screening.

Design and implement a GxP-compliant, collaborative data science environment that integrates automation, central management tools, and secure access controls, supporting efficient and reproducible workflows.

Development of integrated, scalable bioinformatics workflows that automate data intake, validation, analysis, and result storage, utilizing a workflow management system to ensure reproducibility and ease of maintenance.

Develop an integrated platform for quick development, deployment, and monitoring of analytics applications, supporting multiple technologies and ensuring high usability and scalability.