Ritesh Shah

Microsoft Certified Professional in VC++ 4.0 offering 22+ years of proven success in IT Training, System Administration, Technical Support for Hardware, Software, Applications, Operating Systems, Server Support, Mainframe Support, Mobile, and PDA Support; presently associated with ACTIVEOPS (INDIA) PRIVATE LIMITED, MUMBAI, INDIA.

Demonstrating expertise as Operations Data Analyst in areas encompassing global Operational and Billing, Business Intelligence Solutions, for clients who in turn provides Operations Planning and Control solutions across 38 countries worldwide.
 

On an academic front, successfully undergoing Data Scientist course from Aegis in association with IBM.
 

Adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action with a strong ability to drive business results with their data-based insights.
 

Functional prudence in conducting design data modeling processes, creating algorithms and predictive models to extract the data.
 

Leveraged ability in developing processes and tools to monitor and analyze model performance and data accuracy.
 

Competent to devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
 

Resourceful with proven excellence in generating AOM & WFM metrics for the entire globe in 60 sites of 9 multiple regions around the world as a part of AWFM Global Team at Hewlett Packard.
 

An effective communicator with excellent analytical skills - the ability to identify trends, patterns and insights from data.

Microsoft Certified Professional in VC++ 4.0 offering 22+ years of proven success in IT Training, System Administration, Technical Support for Hardware, Software, Applications, Operating Systems, Server Support, Mainframe Support, Mobile, and PDA Support; presently associated with ACTIVEOPS (INDIA) PRIVATE LIMITED, MUMBAI, INDIA.

Demonstrating expertise as Operations Data Analyst in areas encompassing global Operational and Billing, Business Intelligence Solutions, for clients who in turn provides Operations Planning and Control solutions across 38 countries worldwide.
 

On an academic front, successfully undergoing Data Scientist course from Aegis in association with IBM.
 

Adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action with a strong ability to drive business results with their data-based insights.
 

Functional prudence in conducting design data modeling processes, creating algorithms and predictive models to extract the data.
 

Leveraged ability in developing processes and tools to monitor and analyze model performance and data accuracy.
 

Competent to devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
 

Resourceful with proven excellence in generating AOM & WFM metrics for the entire globe in 60 sites of 9 multiple regions around the world as a part of AWFM Global Team at Hewlett Packard.
 

An effective communicator with excellent analytical skills - the ability to identify trends, patterns and insights from data.

Completing Masters in Data Science from Aegis School of Data Science and working on Global Air Quality Forecasting Capstone project.

Undergoing Power BI Certification, CBAP, Prince2 Practitioner certification.