EndorsedendorsedCompleted

Python Financial KPI Extractor

Services Covered:

Custom Software Development
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Industry
Industry

Financial Services

Duration
Duration

3 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 December 2019

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
73/100
Good

Project Capability Score (PCS) estimates how capable Reckonsys Tech Labs 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

map India

Project Summary

Reckonsys developed a Python-based extractor to scan multiple files in OneDrive and consolidate key financial parameters into a single Excel workbook with separate tabs for each parameter and entity. The output was designed to be compatible with Power BI and other analytics tools. End users found significant value in the live system and plans exist to expand its capabilities.

Key Challenges

  • Consolidate key data from multiple Excel files into a single structured workbook
  • Provide a user-friendly exception report to enable business users to clean data issues

Project Deliverables

  • Python extractor script scheduled to run daily
  • Consolidated Excel workbook with separate tabs per parameter/company
  • Configuration-driven processing (configuration Excel file)
  • User-friendly exception report for data cleanup

Project Solution

The vendor built a Python extractor scheduled to run daily that used configurations stored in an Excel file to scan a OneDrive folder of input files and extract key parameters. The script wrote outputs into a target Excel workbook with separate tabs per entity/parameter and produced an exception report to aid business users in cleaning data issues. Reckonsys staffed the work with a lead and a developer while the client (Aethilus) provided project management oversight.

Project Outcome

  • The extractor went live and the client reported it delivered significant value to end users.
  • The client is moving forward with plans for a next phase to enhance capabilities.
  • Reckonsys provided skilled resources that integrated well with the client's processes.

Platforms

  • AI/ML PlatformAI/ML Platform

Tech Stack

  • PythonPython

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

End users found immense value in the extractor, and there are plans to further develop its capabilities. Reckonsys provided skilled resources who adapted well to the in-house project management style.

Yeddu Prasad

Architect

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

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