Christine Chamindra

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

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

<p>Analyzed and predicted growth hacking performance of the AATE projects.<br>
Created monthly reports to report GCOO.<br>
Discussed with each divisional team on highs, lows and how to improve to achieve their targets.<br>
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.<br>
Reported to GCFO.<br>
Used MS Excel, PowerPoint, Word, Outlook, MS Forms, and MS SharePoint.</p>

<p>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.</p>