Sap Data

Saili Sawant

**** * **** **., *** ****, Chicago, IL-60616 Mob: +1-312-***-**** ********@****.***.*** www.linkedin.com/in/saili-sawant OBJECTIVE: To help organization improve their business and profitability by using various analytical and technical skills. EDUCATION:

Illinois Institute of Technology, Chicago, IL Aug 2016 – May 2018 Degree: Master of Science in Information Technology Management G.P.A.- 3.7 Thakur College of Engineering and Technology, Mumbai, India Aug 2011 – Jun 2015 Degree: Bachelor of Engineering in Electronics and Telecommunication Engineering G.P.A.- 3.5 TECHNICAL PROFICIENCIES/ SKILLS:

SAP Skills: SAP Basis, SAP Master Data Management, SAP Material Management, SAP Sales and Distribution, SAP BW/BI (End to End BW Design and Implementation), SAP HANA Implementation, Build BI Applications and Integrate BI Platform using SAP Lumira. Analytical Skills: Python, SQL, MySQL, MS Access, RDBMS, GitHub, MS Azure, MS Excel, Java basics, Power BI, Tableau, R Programming

(Linear, Multiple Linear, ANOVA, Time series modeling), SAS, QlikView, Hadoop Application, Informatica, SQL Server Integration Services

(SSIS), SSMS, SSDT, SharePoint, JIRA Agile/Scrum SDLC, MiniTab, Project Management, MS SQL Server, SharePoint. AREA OF EXPERTISE:

• 2 years’ experience in SAP technical, configuration, and business area knowledge and have ability to configure the module assigned at a project level and resolve business issues by working with various groups within system users, company management, consultants.

• Support Defect resolution during projects and can ensure early escalation of issues are identified and solved.

• Designing Database solutions and can create and implement Virtual Machines using MS Azure, Design and Implement storage strategy.

• 1+ years’ experience in debugging, batch job/IDOC monitoring, hypothesis testing for validating data interpretations.

• 1+ years’ experience in conducting reports for implementing marketing statistical strategies using MiniTab statistical software.

• Self-driven and have ability to analyze and solve technical problems using creative and problem-solving /Data Integrity skills.

• Expert in Data Mining for complex data, have strong communication skills, strong Data profiling and conceptual thinking.

• Ability to apply Agile/ Scrum Project Management for Software Development (SDLC) and have ability to identify and capture data and can effectively communicate with customers and can handle and manage timely scheduled meetings and events.

• 2 years’ experience in optimizing data collection procedures and generated reports on weekly and monthly basis. CERTIFICATION:

Project Management Essentials Certified & Lean Six Sigma White Belt Certified from MSI Institute. Udemy Courses Certificates: SAP SD, SAP Basis, SAP MM, SAP BW, Informatica and SAP HANA Implementation, Data Visualization using Tableau, Machine Learning using Python and R, Earned a badge for Cognitive Big Data and Hadoop Analysis course by IBM. Google Analytics Certified: Data Collection and Processing, Reporting, Basic Campaign and Conversion Tracking, Marketing Tools. PROFESSIONAL WORK EXPERIENCE: Oct 2015 – Aug 2017

Information Technology Operations Analyst Intern, OSI Group LLC, Chicago, IL, USA

• Provided 1

st

level SAP SD User functional support for creating sales order and initiating outbound deliveries for meat products maintaining role in Supply Chain Management for customers like McDonalds and Chipotle, which included triage, research and resolution or escalations in IDOCs (Intermediate Document) and kept track of incidents using Agile/Scrum SDLC Methodologies.

• Provided SAP Business functional process documentation and preparing training materials. Assisted in research and setup of SAP Data Warehouse structures as needed with MS Excel for Pivot tables and created Macros using MS Access and used Informatica.

• Assisted in projects related to Business process documentation of various SAP fields, creating Sales and Purchase Orders using SAP SD and SAP MM, learnt labelling and Inventory Management leading to 36 % growth in customer acquisition.

• Created Workflows and performed Master Data clean-up and formatting, performed IDOC Monitoring and EDI (Electronic Data Interchange) as well retriggered IDOCS for HAVI and Campbell by building SharePoint application using MS access and combined it on a portal for the demo to be used by the team.

Software Engineer, Capgemini

• Implementing, maintaining & customizing multiple SAP instances that comprised the SAP environment in quality, development, testing, production and resolved 3rd issues and created solutions by building SharePoint and used MS features.

• Performed SAP client admin (create client, delete client, export/import client) also produced delivery notes to maintain SAP integrity and Transport Management System (TMS) to ensure all configurations and manage SAP background jobs which supports installation of (Oracle DB) with SAP NetWeaver 7.31 TADM_51 and released software to production and deployed to testing environment.

• Performed Job monitoring on daily basis at the three levels of systems in production, quality and development at different levels, IDOC monitoring and Incident management at Service level agreements (SLA) and generated reports weekly, monthly & Quarterly.

• Provided Strategic SAP initiatives and day to day application support. Provided resolution for application performance, process, execution and monitored different systems using SharePoint which made my work easy for SAP Customization using different T-codes. ACADEMIC PROJECTS:

• ETL Data Warehousing using Microsoft Visual Management Studio, Azure, MS Excel and MS Access Build a Bus Matrix and Star Schema Dimensional Model Cube Building, Extract, transform and load Project using packaged parts of data

• Project name: Cicero Coffee Corner Database Implementation using SQL Server Creation and implementation of a database system of Cicero Coffee Corner as well as analyzing the data using Oracle SQL version 4.2.0

• European Soccer Data Analysis using R Programming, QlikView and Tableau To predict the overall ratings of players in European soccer based on certain characteristics which are the independent variables by creating and analyzing multiple linear regression and Time series models and predicted future outcomes.

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