InData Labs

InData Labs was hired by a proptech company to create a data ingestion framework within AWS. The goal was to run algorithms and simplify large data sets for the company's clients. The project involved deploying multiple AWS EC2 instances to sort and run lambda functions to produce key performance indicators. The team from InData Labs consisted of six experienced backend developers and a project manager. The project was successfully completed, with the client expressing satisfaction with the team's proficiency and the quality of their work.

InData Labs was contracted by GSMA, a non-profit industry organization, to improve a Machine Learning/Data Analytics Tool. The project's goals were to make the system architecture more modular, improve usability and user experience of the system's interface, and analyze customer data to classify users by gender. The team from InData Labs, comprising of 6-10 employees, successfully delivered on these objectives, enhancing the tool's classification engines, modularizing the system architecture, and creating a new interface with high usability and user experience.

A non-profit organization enlisted the services of InData Labs for custom software design and development. The project involved designing and creating a web-based data analytics application. InData Labs' team of 4-5 members collaborated with the client to understand their vision and goals, created a schematic of the platform, and upon approval, moved to the development stage. The platform, integrated with the client's website, amalgamates information from various data sources, allowing the client to perform data analytics on a unified information set. The project was successfully delivered within the stipulated timeframe, with the client expressing satisfaction with the team's work.