Python data analysis
Budget: $8 – $15 USD
Skills
Tableau/Qlik Certification, Time series analysis, Data Visualization, Microsoft Excel Quantitative Methods Data Warehousing Data Mining Business Intelligence (BI) Data Structures Data Visualization Data Mining, Analytics Risk Management, SQL Server,Jupyter, R, Python, MATLAB, SSRS, SSIS, SSAS, MongoDB, MS Access.
Experience
Researched, compiled, analyzed, and reported various operational claims data from multiple sources.
Performed detailed analysis of key trends and findings; summarized and presented findings to managers.
Utilized excel functionality to gather, compile and analyze data from pivot tables and create graphs/charts.
Established analytical goals and used python coding to analyze and to extract customer information.
Candidate should also have experience in identifying, and translating customer behavior and performing in-depth research and analysis.
Experience in preparing and creating analytical reports on customer insights using Microsoft Excel, Python, R, C++, and SQL.
Developed dashboards for internal executives, board members, and count commissioners that measured and reported on key performance indicators.
Experience in data testing, validation, and approval
Tableau/Qlik Certification, Time series analysis, Data Visualization, Microsoft Excel Quantitative Methods Data Warehousing Data Mining Business Intelligence (BI) Data Structures Data Visualization Data Mining, Analytics Risk Management, SQL Server,Jupyter, R, Python, MATLAB, SSRS, SSIS, SSAS, MongoDB, MS Access.
Experience
Researched, compiled, analyzed, and reported various operational claims data from multiple sources.
Performed detailed analysis of key trends and findings; summarized and presented findings to managers.
Utilized excel functionality to gather, compile and analyze data from pivot tables and create graphs/charts.
Established analytical goals and used python coding to analyze and to extract customer information.
Candidate should also have experience in identifying, and translating customer behavior and performing in-depth research and analysis.
Experience in preparing and creating analytical reports on customer insights using Microsoft Excel, Python, R, C++, and SQL.
Developed dashboards for internal executives, board members, and count commissioners that measured and reported on key performance indicators.
Experience in data testing, validation, and approval