endorsedCompleted

Machine Learning & Data Processing Staff Augmentation

Services Covered:

Staff Augmentation • AI and Machine Learning

Industry

Arts, Entertainment & Recreation

Duration

5 months

Budget

200K - 999K

Start Date

1 June 2018

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

71/100

Good

Project Capability Score (PCS) estimates how capable Velotio Technologies 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

San Francisco, United States of America

Project Summary

Velotio Technologies provided staff augmentation to implement a data processing and machine learning solution for the client. They set up data flows, processes, databases, and modeling on AWS while coordinating on-site and offshore developers. The vendor met scheduled deadlines, managed issues quickly, and maintained strong communication between local and remote teams.

Key Challenges

Use data more effectively and build machine learning solutions

Project Deliverables

On-site and offshore developer staffing
Data flows
Data processes
Databases
AWS data modeling

Project Solution

Velotio Technologies provided staff augmentation to design and implement a data processing and machine learning solution on AWS. Working from provided architecture and guidance, the vendor implemented data flows, data processes, databases, and AWS-based modeling. The engagement included both on-site and India-based developers and support for existing products.

Project Outcome

Met scheduled deadlines on time
Resolved unexpected technical issues quickly
Delivered work as promised with effective project management and coordination between on-site and offshore teams

Platforms

Cloud

Tech Stack

Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.75

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Despite having a complex schedule to adhere to, Velotio Technologies’ team met all deadlines on time. They excelled at reporting and addressing issues quickly as well as communicating between both on-site and off-site staff, making sure no details were missed.”
Anonymous
Former VP of Engineering
Date: 08/01/2019