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Ashish Kumar

Data Analyst at The Sustainability Consortium - - ASU '21
Phoenix, Arizona, United States
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Ashish Kumar

Data Analyst at The Sustainability Consortium - - ASU '21
Phoenix, Arizona, United States
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Ashish Kumar, a data interpreter and upcoming industrial engineer, has a proven track record of turning large datasets into progressive ideas through data visualizations and predictive analytics. With an upcoming master's degree in Industrial Engineering, he has significantly improved his skills in business acumen, logical thinking, analytical reasoning, and decision-making. Kumar's experience in data analysis, data visualization, data mining, business analytics, business intelligence, and machine learning has enabled him to create a niche for himself in the industry.

His technical background includes proficiency in data management tools such as MySQL, Microsoft Excel (Advanced), SQL Server, Microsoft Access, programming languages including SQL, Python, HTML, and SAS, and statistical tools like JMP, Minitab, SPSS, and Lucidchart. He is also an expert in data visualization tools such as Tableau, Microsoft Power BI, Qlik Sense, Google Analytics, D3.js, and Charts.js, which have made him suitable for companies that require data visualization professionals.

Kumar's industrial data analysis techniques and data evaluation experience has been applied as Data Analyst for The Sustainability Consortium. He worked as an intern for Tata Projects and I’ve Been Vetted as a data analyst, aiding him in gaining more knowledge in industries and fine-tuning his data analysis knowledge. Also, he had the privilege of working with the Ira A. Fulton Schools of Engineering as a Graduate Student Assistant enhancing his research skills, business intelligence, and data analysis capabilities.

In summary, Ashish Kumar, with his Masters and experience, is a talented and promising data interpreter with a passion for data analysis, prediction, and visualization. He is an excellent fit for companies seeking data professionals capable of tackling large datasets and presenting actionable recommendations.

This public profile is provided courtesy of Clay. All information found here is in the public domain.