Cricket Data Analysis
Service:
Service:
Service:
Data Analysis
Data Analysis
Data Analysis
Client:
Client:
Client:
Cricket Data Analysis
Cricket Data Analysis
Cricket Data Analysis
Field:
Field:
Field:
Power BI, Pyhton, Pandas
Power BI, Pyhton, Pandas
Power BI, Pyhton, Pandas
Year:
Year:
Year:
2023
We aim to identify the best 11 cricket players in the world who:
Can score at least 180 runs on average.
Can defend 150 runs on average.
We aim to identify the best 11 cricket players in the world who:
Can score at least 180 runs on average.
Can defend 150 runs on average.
We aim to identify the best 11 cricket players in the world who:
Can score at least 180 runs on average.
Can defend 150 runs on average.
Share:
More works
Considering me as a potential hire? Reach out to me!
vijayadithyabk@outlook.com
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Location:
Bengaluru, KA, IN
4:36:59 AM
Job Status:
Actively applying
3 Months NP
Expertise:
Data Analysis
Python
Web development
Vijay Adithya B K
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