endorsedOngoing

Machine-Learning Platform Review & Overhaul

Services Covered:

Custom Software Development

Industry

Artificial Intelligence and Machine Learning

5 months

Budget

10K - 49K

Start Date

1 September 2019

Team Size

1-5

Engagement Model

Offshore

Project Capability Score (PCS)

79/100

Good

Project Capability Score (PCS) estimates how capable Algoscale 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

London, United Kingdom

Project Summary

Algoscale performed a bottom-up review and overhaul of an AI-based platform's machine-learning data pipelines, implementing data cleansing and building QAed pipelines to accommodate multiple data acquisition methods. They combined pipelines into a unified user journey, created customer profiles and clusters for targeting, and deployed stable, scalable production pipelines. The vendor worked primarily in Python and demonstrated strong project management and daily communication throughout the engagement.

Key Challenges

Conduct a full bottom-up review of machine learning, data pipeline, and preprocessing operations
Build multiple models to test outcomes and compare against existing KPIs
Decide whether to deploy new models into production

Project Deliverables

Data cleansing and preprocessing pipelines
Unified user journey across multiple channels
Customer profiling and clustering models
Production deployment of data pipelines and monitoring

Project Solution

The vendor performed data cleansing and built multiple data-acquisition pipelines to accommodate different sources, combining them into a single user journey across channels. They developed customer profiles and clusters, built data acquisition, deployed pipelines into a production environment, and implemented monitoring and quality-assurance to ensure stability and scalability. The team worked primarily in Python and collaborated closely with the client to understand business and UX flows.

Project Outcome

Deployed pipelines and client-facing presentation layers; now in production
Stable, scalable production environment for data pipelines
Strong project management with consistent daily communication and on-time delivery
No issues reported by the client

Platforms

AI/ML Platform

Tech Stack

Python

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The vendor has excelled at pairing business needs with high-quality real-world applications. An adaptable team, the specialists quickly developed a robust understanding of an entirely new product. Their detail-oriented mindset has been a highlight.”
Anonymous
CEO
Date: 02/24/2020