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Machine Learning & Data Processing Staff Augmentation

Services Covered:

Staff Augmentation • AI and Machine Learning
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Industry
Industry

Arts, Entertainment & Recreation

Duration
Duration

5 months

Budget
Budget

200K - 999K

Start Date
Start Date

1 June 2018

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
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

mapSan 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

  • CloudCloud

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.75star

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

Note: This endorsement is based on publicly available client feedback from external review sources.

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