Rashmi Prakasha Panda

• Certified salesforce specialist with BI tool Datorama(Marketing Cloud Intelligence)
• Worked under Decision foundry organisation for about two years as an Implementation engineer for various clients using Datorama (Marketing cloud intelligence) and salesforce marketing cloud. Currently I am working directly for salesforce across various markets like APAC, EMEA, AMER (us), LATAM, ABM, etc.
• Handled customer concerns and escalated major issues to supervisor.
• Reporting of campaigns on daily , weekly and monthly basis and creating automatic response for them.
• Responsible for data ingestion up to visualization in informative dashboards.
• Harmonizing unfit data with multiple reports and exporting useful insights form it.
• Diffused challenging situations using conflict management techniques.
• Created comprehensive reports on project progress and results for clients.
• Wide use of Visualization tools like Tableau , power Bi , Datorama for analysis and finding patterns.
• High use of advance statistics with tools like python ,R for solving critical business problems,
• Building charts and clustering, customer segmentation based on purchased history or transaction using KNIME, SQL ,K_means algorithms,
  

• Building dashboards for campaign and advertising data for analysis and making it user friendly for stack holders
• Implementing CRM data for observing leads and opportunity .
• Providing predictive analytics to clients for better outcome \
• Wide use of Visualization tools like Tableau, power Bi, Datorama for analysis and finding patterns
• Spoke to customers in multiple languages to resolve problems and answer questions.
• Conducted research and analysis of market trends, customer behaviors, and competitive landscape.

• Forecasting for future using past data for sales and profits and finding trends or seasonality if there

any

• Calculating combination of Frequency, recency, monetary based on high , medium and low than providing insights for the customers at risk
• Reducing dimensions and identifying the important features using PCA.
• Regulating and verifying changes of different treatment using Analysis of variance.