Supplemental Web Engineering for Financial Analysis Platform
Services Covered:

Industry
Financial Services
Duration
4 months
Budget
10K - 49K
Start Date
1 May 2018
Team Size
1-5
Engagement Model
Offshore
Project Capability Score (PCS)
77/100
Good
Project Capability Score (PCS) estimates how capable STX Next 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
Project Summary
STX Next provided a supplemental engineer to support the web interface of a financial analysis platform, delivering features and bug fixes using React.js, Redux, JavaScript, Python and Django. Communication difficulties and time zone differences led to a shortened engagement spanning May–September 2018, though the engineer produced quality work and the vendor's management remained engaged.
Key Challenges
- Small internal team (founder and one other) that needed additional engineering capacity
- Need for web interface support and feature development for a financial analysis product
Project Deliverables
- Date filtering functionality for table views of multidimensional data
- UI feature to manage and reduce nD data to 2D views
- New features and bug fixes for the web interface
- Supplemental engineering resource (single engineer)
Project Solution
STX Next provided a single supplemental engineer based in Poland to implement web interface features and fix bugs. The engineer worked daily with the client, using React.js, Redux and ES2015 on the frontend and Python with Django on the backend. Delivered work included a date-filtering feature for generic table views of multidimensional data and UI improvements to let users reduce nD datasets to 2D for display.
Project Outcome
- Contract was shortened due to communication and time zone issues
- Delivered minor features including date filtering and UI improvements
- Engineer produced quality work and provided learning value to the client
Platforms
Web
Tech Stack
React.js
Redux
JavaScript
Python
Django
Client Endorsement
Overall Review Rating
4
4 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Although poor communication led to a shortened engagement, the engineer provided quality work during ramp time. The management team, however, was thoroughly engaged and mindful of the project’s success, creating an amicable working relationship.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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