Pranjal Maheshwary Email & Phone Number | MS in Business Analytics student at Arizona State University- WP Carey School of Business, with 3 years of experience in Data Analytics and Product Development - Worked as team leader and individual contributor. Worked across various practice areas including data engineering, scripting, creating databases, predictive and prescriptive analytics, data visualization and Robotic Process Automation. Interested in solving challenging business problems with data-driven analytics. Skills: - Analytics Techniques: Data Management, Data Mining, Quantitative Analysis, Optimization Modelling, Statistical Modelling & Forecasting, Decision & Predictive Analytics, Regression, Clustering, SVM, KNN, Data Visualization, Robotic Process Automation - Programming Technologies: SQL, R, Python (data analysis packages: NumPy, Matplotlib, Pandas, SciPy), Java, JavaScript - Tools: SQL Server, MySQL, R Studio, SAS Enterprise, Power BI, MicroStrategy, Hadoop, SPSS, Microsoft Office Suite (Excel, Word, Powerpoint, Visio)

Pranjal Maheshwary

MS in Business Analytics student at Arizona State University- WP Carey School of Business, with 3 ye...
Seattle, Washington, United States

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Pranjal Maheshwary’s Email pmaheshwary@amazon.com

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Pranjal Maheshwary’s Location Seattle, Washington, United States

Pranjal Maheshwary’s Current Industry Amazon

Pranjal Maheshwary’s Prior Industry Mtm | Dell Technologies | Arcadis | Finastra | Ceinsys Tech

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Business Intelligence Engineer II

2022-06-01 00:00:00 - Present

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2022-01-01 00:00:00 - 2022-06-01 00:00:00

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2019-12-01 00:00:00 - 2020-06-01 00:00:00

Data Analytics Consultant

2018-09-01 00:00:00 - 2019-04-01 00:00:00

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

Analytics Intern

2016-05-01 00:00:00 - 2016-07-01 00:00:00

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Pranjal Maheshwary is a MS in Business Analytics student at Arizona State University- WP Carey School of Business, with 3 years of experience in Data Analytics and Product Development - Worked as team leader and individual contributor. Worked across various practice areas including data engineering, scripting, creating databases, predictive and prescriptive analytics, data visualization and Robotic Process Automation. Interested in solving challenging business problems with data-driven analytics. Skills: - Analytics Techniques: Data Management, Data Mining, Quantitative Analysis, Optimization Modelling, Statistical Modelling & Forecasting, Decision & Predictive Analytics, Regression, Clustering, SVM, KNN, Data Visualization, Robotic Process Automation - Programming Technologies: SQL, R, Python (data analysis packages: NumPy, Matplotlib, Pandas, SciPy), Java, JavaScript - Tools: SQL Server, MySQL, R Studio, SAS Enterprise, Power BI, MicroStrategy, Hadoop, SPSS, Microsoft Office Suite (Excel, Word, Powerpoint, Visio)