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EndorsedendorsedOngoing

Machine Learning Training and BI Tool for Financial Services

Services Covered:

Custom Software Development • AI and Machine Learning • Data Analytics
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Industry
Industry

Financial Services

Duration
Durationinfo-circle

7 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 April 2020

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
77/100
Good

Project Capability Score (PCS) estimates how capable Pento 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

mapMontevideo, Uruguay

Project Summary

Pento partnered with a financial services company to build an internal training tool and machine-learning-based solutions using Python and Azure. They provided workshops and targeted training while developing machine learning components and business intelligence visualizations. The deliverables automated previously manual processes, improving efficiency and saving time. The vendor was noted for flexible project management and useful ideas, though the client requested clearer initial roadmaps and timelines.

Key Challenges

  • Provide training on machine learning topics
  • Facilitate information sharing around machine learning and data visualization

Project Deliverables

  • Training sessions on machine learning
  • Machine learning tools developed in Python
  • Business intelligence visualizations
  • Kick-off workshop to identify ML use cases

Project Solution

Pento ran a kick-off workshop to identify business problems and delivered a mix of training and development work focused on machine learning and business-intelligence visualization using Python and Azure services. They conducted a series of topic-specific sessions, provided hands-on training, and developed automation that replaced manual processes. The engagement included ongoing support after the initial delivery.

Project Outcome

  • Training provided added value beyond the developed product and upskilled the client's team
  • Development automated previously manual processes, improving efficiency and saving time
  • The vendor adapted well to the client's project management tools and was flexible throughout the engagement
  • The vendor's ideas and dedication improved the client's original concept

Platforms

  • CloudCloud

Tech Stack

  • PythonPython
  • AzureAzure

Client Endorsement

Overall Review Rating

4.63star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The team was successful with its development and training efforts, earning praise from the partner company. They employed a flexible project management style, allowing for seamless communication through adjusting tasks. Their willingness to bring unique ideas to the table enhanced the relationship.”

Anonymous

Senior Expert

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