Shreyansh A.

About Shreyansh A.

Shrey has over 9 years of experience across the data analytics spectrum that incudes development of analytics strategies, data governance, and design and delivery of enterprise data warehouses, master data management, business intelligence and predictive analytics solutions for large Health and Human Services (HHS) Organizations along with Retail and Financial institution clients. He brings in HHS and State Health subject matter expertise to help state governments leverage data to drive organizational change, support new business initiatives, improve operational efficiencies and the service delivery. He has deep experience and understanding of how to architect and design enterprise data warehouses and data hubs that can evolve to meet the dynamic needs of an increasingly connected population administered by the HHS organizations. Core Skills: • Hands on experience in Requirement gathering, Workflow design, Application testing and support. • Adept in Business Analysis, Process Management, Quality Control, Documentation and Project Management. • Experienced in Qualitative and Quantitative Research methodology. • Proficient in using Microsoft Office tools – Excel (Pivot, Macros and VLOOKUP), Word, Access and Project • Data Processing Tools – SAP-SCM/ERP/FICO, Tableau, IBM SPSS, Salesforce Admin, EssBase, People-Soft • Database Tools – SQL Server, MySQL, Oracle PL/SQL, Cube, Eclipse, Webrq • Financial Analysis - Bloomberg, Morningstar, CAPITALIQ • Effective Communicator, with special skills in solving problems. • Strong assessment and judgement skills with ability to multitask • Strong Interpersonal and organizational skills, with great attention to detail. Advanced Excel:@Risk, Solver Table, Sensitivity Analysis, Stat Tools, Precision Tree, V-Lookups and Pivot Tables/Charts Data Analysis Tools and Skills: R-Studio, IBM Watson Analytics, RDBMS, Data Modeling (ER diagrams, SQL query design), BI reports and Xcelcius dashboard designing, Excel skills like, Decision trees, Predictive modelling, Classification techniques, Linear and Multiple Regression, Optimization, Forecasting, Basics of Machine Learning.

Experience

1. Dc Specialist Senior (Government Public Sector Strategy and Analytics)

   Deloitte

   Jun 2022 — Present · Richmond, VA, US

Education

• Texas A&M University

  Master of Science (MS), Business Analytics

  2014 — 2016

• Loyola Institute Of Business Administration

  Executive Post Graduate Diploma in Marketing Management, Management Information Systems, General

  2012 — 2013

• Loyola College

  Bachelor of Science - BS, Statistics and Computer Applications

  2009 — 2013