Madhur Inani Email & Phone Number | Madhur Inani has 6+ years of experience in Data and Analytics Domain for Financial and Healthcare business clients specializing in data analytics, integration, and transformation for enterprise wide reporting and statistical analysis. He has strong technical background to aid his functional expertise in identifying the areas of operational visibility and developing interactive reports, dashboards and KPI’s for his clients. He also has experience working with key stakeholders to define the product vision and its strategy that is aligned with the overall direction, and has translated product roadmaps into well-defined product requirements/user stories for its clients. Key proficiency areas: • Analytics: Data visualization in Tableau, Oracle Business Intelligence (OBI), IBM Cognos, Big Data using Hive, MS Excel, SAS EM, Alteryx • Database: Oracle Database, Microsoft SQL Server, AWS Redshift • Machine Learning Skills: Linear & Logistic Regression, Clustering and Classification Techniques, Market Basket Analysis • Programming: R, Python, SQL

Madhur Inani

Madhur Inani has 6+ years of experience in Data and Analytics Domain for Financial and Healthcare bu...
Mumbai, Maharashtra, India

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Madhur Inani’s Email madhur.inani@pwc.com

Madhur Inani’s Phone Numbers +1 212-551-****

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Madhur Inani’s Location Mumbai, Maharashtra, India

Madhur Inani’s Current Industry Pwc

Madhur Inani’s Prior Industry Fleetpride | Larsen And Toubro Infotech | Hpcl Mittal Energy

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Senior Consultant | Advisory

2020-07-01 00:00:00 - Present

Data Analytics Intern

2017-06-01 00:00:00 - 2018-04-01 00:00:00

Business Intelligence Analyst

2013-09-01 00:00:00 - 2016-04-01 00:00:00

SAP Intern

2011-12-01 00:00:00 - 2012-01-01 00:00:00

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Madhur Inani is a Madhur Inani has 6+ years of experience in Data and Analytics Domain for Financial and Healthcare business clients specializing in data analytics, integration, and transformation for enterprise wide reporting and statistical analysis. He has strong technical background to aid his functional expertise in identifying the areas of operational visibility and developing interactive reports, dashboards and KPI’s for his clients. He also has experience working with key stakeholders to define the product vision and its strategy that is aligned with the overall direction, and has translated product roadmaps into well-defined product requirements/user stories for its clients. Key proficiency areas: • Analytics: Data visualization in Tableau, Oracle Business Intelligence (OBI), IBM Cognos, Big Data using Hive, MS Excel, SAS EM, Alteryx • Database: Oracle Database, Microsoft SQL Server, AWS Redshift • Machine Learning Skills: Linear & Logistic Regression, Clustering and Classification Techniques, Market Basket Analysis • Programming: R, Python, SQL