endorsedCompleted

Media Data Infrastructure and Processing Solution

Services Covered:

API Development • Data Engineering • Web Application Development

Industry

Financial Services

6 months

Budget

10K - 49K

Start Date

1 March 2021

Team Size

1-5

Engagement Model

Offshore

Project Capability Score (PCS)

75/100

Good

Project Capability Score (PCS) estimates how capable Zweidevs is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Miami, United States of America

Project Summary

A media company partnered with Zweidevs to collect financial data and develop custom algorithms to process it so the client could make data-driven business decisions. Zweidevs built a data collection and processing pipeline for 50 companies, plus an endpoint to deliver processed results to the client's in-house developer. The client praised the team's responsiveness and quality of work and noted that timezone differences required planning but were manageable.

Key Challenges

Collect a large amount of financial data for 50 different companies
Develop several custom algorithms to process and analyze the collected data to inform decisions
Provide a way to change which companies are collected each day (configurable scheduling)
Expose an endpoint to deliver processed results to the client's in-house developer

Project Deliverables

Data collection pipeline for financial data
Custom algorithms to process and analyze collected data
Configurable scheduler to change which companies are collected each day
Processed-data API endpoint for the client's in-house developer
Backend implemented with Python and MongoDB

Project Solution

Zweidevs implemented a data ingestion and processing backend that collected financial data (via a purchased API) for 50 companies, provided a configurable scheduler to change which companies were collected each day, compiled and analyzed the data in multiple ways, and exposed an endpoint delivering processed results to the client's in-house developer. The implementation used Python and MongoDB, and the vendor team coordinated scope, testing, and delivery with the client.

Project Outcome

The client was very happy with the end result and received exactly what they were looking for.
The vendor's responsiveness and project management were praised despite timezone challenges; communication used Skype and Zoom.

Platforms

API/Integration Platform
Web

Tech Stack

Python
MongoDB

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The company was quite happy with the process that the Zweidevs team implemented for the project as it was exactly what they were looking for. While the company found the time difference challenging all they did was plan their operations to accommodate it when working together.”
Solie Swan
VP Business Development
Date: 10/12/2021