You will get Campaign Performance Report on Python
Project details
Campaign Performance Analysis:
-Total Calls per Campaign:
-Created a bar plot to visualize the total number of calls for each campaign.
-Calls Connected and Unique Leads: Compared total calls with calls connected and unique leads using bar plots.
-Leads Converted and Qualified Leads: Analyzed the relationship between total calls and leads converted, as well as qualified leads through horizontal bar plots.
-Call Duration Analysis: Compared average call duration for agents and customers per campaign using bar plots.
Agent Performance Analysis:
-Top 10 Calling Employees: Identified top 10 agents based on the number of calls using a bar plot.
-Leads Converted per Agent: Used pie charts to visualize the share of calls and leads converted by the top 10 agents.
-Lead Status Distribution: Analyzed the distribution of lead statuses using a bar plot to identify the most common outcomes.
Temporal Analysis:
-Weekday Distribution of Calls: Converted timestamps to weekdays and created a line plot to show the distribution of call entries across different days of the week, highlighting Wednesday.
-Total Calls per Campaign:
-Created a bar plot to visualize the total number of calls for each campaign.
-Calls Connected and Unique Leads: Compared total calls with calls connected and unique leads using bar plots.
-Leads Converted and Qualified Leads: Analyzed the relationship between total calls and leads converted, as well as qualified leads through horizontal bar plots.
-Call Duration Analysis: Compared average call duration for agents and customers per campaign using bar plots.
Agent Performance Analysis:
-Top 10 Calling Employees: Identified top 10 agents based on the number of calls using a bar plot.
-Leads Converted per Agent: Used pie charts to visualize the share of calls and leads converted by the top 10 agents.
-Lead Status Distribution: Analyzed the distribution of lead statuses using a bar plot to identify the most common outcomes.
Temporal Analysis:
-Weekday Distribution of Calls: Converted timestamps to weekdays and created a line plot to show the distribution of call entries across different days of the week, highlighting Wednesday.
Project Type
OtherWhat's included $5
These options are included with the project scope.
$5
- Delivery Time 1 day
- Number of Revisions Unlimited
About Ayush Singh
Data Scientist
Gurgaon, India - 3:42 pm local time
I help businesses turn their data into an asset by using it to create a clear pathway to their desired business results such as an increase in sales, efficient business operations, and improved customer relationship management, predictive analysis among others through data analysis and data visualizations.
I do data entry with attention to detail into sophisticated spreadsheets using tools such as Microsoft Excel, Google Sheets, SQL, and Tableau. I also perform advanced calculations and functions to clean and analyze your data and then create valuable insights to ease your decision-making process.
I have a Pursued my Post Graduate Diploma in Data Science and Engineering from Great Lakes Institute of Management making me proficient in Data Science and Analytics and MBA from Amity University, Noida.
Also, I have Volunteered as a Data Analyst for P.P Pharma, a Pharmaceutical Company based out of Gwalior, Madhya Pradesh, India just to gain experience in data analytics while working realtime.
I have created numerous data visualizations using tools such as Power BI and Microsoft Excel, some of which are in my portfolio for you to look at.
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ROAD MAP TO YOUR GOAL:
🏁 What you get when you collaborate with Me
✔Open and Clear communication.
✔Time Management.
✔ Delivery of First-class project results.
P.S. Only pay if the results meet your expectations.
Still not convinced, all right let's jump on a 30-minute consultation call with no obligation.
P.S. While I am new on Upwork and am not new to data analysis, I have worked as a Data Analyst for P.P Pharma, a Pharmaceutical Company based out of Gwalior, Madhya Pradesh, India. In this role, I was responsible for maintaining the MIS and data-related operations, ensuring data integrity, and conducting various types of analysis as and when required.
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