About

Paresh Maheshwari is an experienced IT professional currently working as a Solutions Analyst at Deloitte Consulting. He has 3 years of work experience in Salesforce platform development, administration, data and business analytics, business intelligence, data mining, data management, and performing unit, functional, and regression testing, production support. He has proven abilities in requirement analysis, business performance analysis, project management, KPI reporting, data management, and data analysis. Paresh is well-versed in data extraction, preparation, wrangling, and analysis using various statistical programs. He has working knowledge of data science languages R, Python, and SAS. He also has experience in web scraping, text mining, and predictive modeling. He is skilled in visualization tools such as Tableau and Power BI. Paresh is experienced in developing and administrating the Salesforce CRM platform and using databases such as MySQL, MS Access, and MS SQL Server Management. He has excellent time management and organizational skills and experience in business requirement gathering, business analysis, project management, product management, and data management. Paresh is currently pursuing an MS in Information System with a concentration in Business Intelligence and Analytics at Stevens Institute of Technology at Hoboken, NJ. He has studied courses such as Multivariate Data Analysis, Project Management Fundamentals, Data & Knowledge Management, Data Warehousing/Business Intel., Multivariate Data Analysis, Web Analytics, Knowledge Dis & Data Mining. He has received recognition for quality work from the client, Accenture Leadership, Project Lead, and Team Lead. At Deloitte, Paresh maintains the product MDM to synchronize data from various sources, analyzes, validates and standardizes the product information data, collaborates with stakeholders across the organization to ensure business and technology group alignment. He has developed a dynamic Python script to analyze the inconsistencies present in large and complex Healthcare Data on Azure, built a dashboard using Power BI for the Senior Leadership, which gives them the view of the key matrices such as Satisfaction %, Benchmark, and Actual Variance. He has built ETL using Informatica to push data from multiple different sources to Salesforce CRM to help the Sales and Marketing team to create and maintain different accounts and opportunities. Paresh has also worked as a Data Analyst & Integration Intern at Wiley, where he developed a Reconciliation System using SSIS and MS SQL Stored Procedures to make the order processing system more efficient and to eliminate the manual PO creation. He designed, built, and maintained processes and components of a streaming data/