Christine Chamindra

Implemented a Python-based automation system to streamline the call-rate calculation.
Automated the analysis of VINOTA calls-revenue data and payment information using Python.
Generated monthly reports by visualizing the analysis in Power BI.
Designed the Power BI Dashboard.
Analyzed Excel data to assess the strategic impact of offering free call benefits.
Emphasized the correlation between free callers and their initial payments.
Utilized Microsoft Excel to analyze the correlation among impressions, clicks, conversions, and first payments within the context of Google Ads data.
Forecasted VINOTA sales and international incoming data using regression models.
Calculated Customer Lifetime Value based on calls and payments using Python.
Analyzed monthly revenue from the newly launched app, TASCOM.

Role :- Data Analysis and Automation

Responsibilities :-
- Implemented a Python-based automation system to streamline the call-rate calculation
- Automated the analysis of VINOTA calls-revenue data and payment information using
Python, generated monthly reports by visualizing the analysis in Power BI and
designed the Power BI Dashboard.
- Analyzed Excel data to assess the strategic impact of offering free call benefits,
emphasizing the correlation between free callers and their initial payments.
- Utilized Microsoft Excel to analyze the correlation among impressions, clicks,
conversions, and first payments within the context of Google Ads data.
- Forecasted VINOTA sales and international incoming data using regression models
- Calculated Customer Lifetime Value based on calls and payments – using Python
- Analyzed monthly revenue from the newly launched app, TASCOM

Analyzed and predicted growth hacking performance of the AATE projects.
Created monthly reports to report GCOO.
Discussed with each divisional team on highs, lows and how to improve to achieve their targets.
Predicted the Net Savings from Jan to May of the project E-adoption of GBC division based on the actual average Net take-up rate using Extrapolation Calculation Method.
Reported to GCFO.
Used MS Excel, PowerPoint, Word, Outlook, MS Forms, and MS SharePoint.

Worked on the main research project on the impact on Sri Lankan exports due to removing the European Union’s Generalized System of Preferences (GSP) concession, becoming Sri Lanka an upper-middle-income country, using MS Excel.