Rahul Paul
Cloud Solution Architect @Infosys
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WORK HISTORY
Cloud Solution Architect @Infosys
CA
Power BI Reporting and Data Analytics-(Global Manufacturing Organization)• Working as a BI Analyst and Insights Generation Analyst for boosting Sales Process for Manufacturing Client.• Complex data models for Product/Engineering department (JCI) to report Sales Actuals and Standard Cost from 30+ different ERP instances involving SAP, Oracle, Salesforce, Baan etc.• Use of Power BI for adhoc reporting and interactive dashboard design,• Discover Data mapping from Data Lake (Hadoop) and understand the relationships between tables from sources.• Using Azure Data Factory and implement complex data models from ERP\'s in cloud for Power BI Reporting.• Use Azure Analysis Services to create tabular Models and load data in cubes and create aggregation and measures using DAX.• Implementing ML algorithms using Azure ML and data bricks to derive unique supplier and create a supplier master.• Implement predictive models for Cash Management using ARIMA, SARIMAX forecasting models and provide insights into future cash inflows.• Create data model and data feeds for Logility tool for Sales and Operations Planning.
EDUCATION
Indian Institute of Technology, Roorkee
Master of Business Administration - MBA
Jorhat Engineering College
Bachelor of Engineering - BE
ABOUT RAHUL PAUL
Rahul has around 10+ years of experience in Consulting, Data Analytics & Program Management leading multiple teams successfully for various Global Manufacturing, Retail, Hi-Tech and Banking Clients. Rahul has an MBA in Operations Management from IIT Roorkee. Rahul has worked on the below technologies and have rich experience in them: a. Analytics and Big Data solution. Integration and Data Rationalization from multiple ERP source systems. Using Azure, Snoflake, AWS technologies to design and develop organizational data asset for all advanced analytics needs. b. MDM and Data Modelling: Erwin to create data models. Create Data mapping and lineage, Data Models from complex source systems for customized Reporting needs. Rationalize data from various legacy ERPs to provide harmonized data for various Business. c. Business Intelligence(Visualization): Support Business with adhoc reporting, data analysis and visualization using tools like Microsoft Power BI, Tableau. Very good experience with data aggregation using DAX language. d. Advanced Analytics: Use Python to create Forecasting Models (ARIMA, SARIMAX, ARMA) for various predictive models like Cash Management, Sales Forecast, Spend Analysis,Fraud Losses Forecast etc. Creating Classification Models using various Scikit Learn Libraries (Decision Tree, Random Forest, SVM, Naive Baiss) to predict outcome of events like opportunity and Lead conversion to Sales. e. Domain Consulting: Analytics solution and expertise in Procurement domain: Spend Classification, Supplier ScoreCard, Strategic Sourcing, Buyers Cockpit and Category Management. Also provided consulting in developing Sales and Marketing KPI like Campaign management, Field sales performance, margin and standard costs. f. Scrum and Program Management: Lead several analytics project with clear documentation and using advanced SAFE agile methodologies like Kanban board, Using JIRA to decompose and allocate complex tasks to several team members, using RACI chart to remove any role related discrepencies, publish monthly burndown chart to project stakeholders, host monthly meetings with executive project sponsers (VP and Directors) to demonstrate progress.
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