endorsedCompleted

Machine Learning Validation and Python Development for Neurophysiological Startup

Services Covered:

Custom Software Development • AI and Machine Learning

Industry

Software Development

Duration

4 months

Budget

Confidential

Start Date

1 July 2021

Team Size

1-5 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

79/100

Good

Project Capability Score (PCS) estimates how capable Innowise 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

Yerevan, Armenia

Project Summary

A neurophysiological startup engaged Innowise Group to validate machine-learning hypotheses and assess an existing deep learning model. Innowise provided Python code, analysis, a presentation, and a written report to support the client's research. The engagement ran from July to November 2021 and was led by one full-time engineer. The client reported the deliverables were valuable and met expectations.

Key Challenges

Needed help to validate machine-learning hypotheses
Required analysis, detection, and assessment of an existing deep learning model
Engagement comprised many small tasks and a limited-scope research collaboration

Project Deliverables

Python code
Written research report
Presentation with slides explaining conclusions
Analysis and assessment of existing deep learning model

Project Solution

Analyzed and assessed the performance of an existing deep learning model, wrote Python code to perform analyses and validate hypotheses, and produced a presentation and written report summarizing methodology, results, and conclusions. The vendor embedded one full-time engineer who collaborated with client team members using an agile, one-week sprint cadence and managed tasks via Jira.

Project Outcome

Delivered expected analysis and code used for the client's research
Provided valuable information that benefited the overall research process
Client expressed willingness to re-engage for additional ML expertise
Agile delivery (one-week sprints) generally met expectations

Platforms

AI/ML Platform

Tech Stack

Python

Client Endorsement

Overall Review Rating

4.75

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Innowise Group successfully met the client's expectations. They provided exemplary information during the project, which was helpful for the client's whole research process. The team's agile and open-minded approach coupled with their solid communication skills also strengthened the partnership.”
Anonymous
Chief AI Officer
Date: 04/28/2022