Business Benefits Realized:
Improved performance of Business Dashboards leading to faster processing of data.
Real-time scalability - helped in meeting growing business needs like processing bigger and newer workloads.
Secured and governed access to data.
Built a dynamic team of 3 Tableau developers which significantly boosted the overall success of the Project.
1. Developed visually appealing and user-friendly dashboards using Tableau, delivering actionable insights to stakeholders from various departments. Skills: Tableau, Data Visualization, Dashboard Design, Data Analysis
2. Automated data warehousing processes, significantly improving efficiency and accuracy in data extraction, transformation, and loading (ETL). Skills: Data Warehousing, ETL Automation, SQL, Data Integration
3. Successfully managed Tableau server maintenance, ensuring optimal performance, user access, and security for enterprise-wide reporting and analytics. Skills: Tableau Server Administration, Server Performance Optimization, User Access Management
4. Proficient in SQL for data extraction, manipulation, and analysis, enabling advanced querying and data-driven decision-making. Skills: SQL, Database Management, Data Manipulation, Data Analysis
5. (POC)Trying to Implement machine learning models and algorithms to uncover valuable insights from complex datasets, driving predictive analytics and business growth. Skills: Machine Learning, Predictive Analytics, Model Implementation, Algorithm Development
1. Creating clear reports that tell compelling stories about how customers or clients work with the business.
2. Used various Tableau functionalities like Filters, Hierarchies, Sorting, Sets, Parameters, Groups, Story, Geocoding, Actions, Joins, Data Blending, LOD expressions.
3. Will be responsible for developing prototypes and proof of concepts.
4. Work closely with the leadership team to identify issues and use data to propose solutions for effective decision-making.
5. Worked extensively with cross-functional teams including Finance, IT, Sales, and Services to draw business insights and recommend the next tactical steps to meet business targets.
1. Fulfilled all Data Analytics for a high-end Cloud Computing firm.
2. Used Machine Learning to predict the SLA breach and Incident Defect Categories.
3. Predictive Analytics for CSAT Data to segment the High Risk, Passive, and Low-risk customers.
4. Communicated and integrated with clients and global teams daily to organize and stabilize the environment.
5. Took Responsibility for handling the status calls, task scheduling, and operations with several other teams globally.
6. Handled Incidents Priority’s ITSM experience in handling SLAs, SNOW Ticket management, and defects control on Cloud Virtual machines raised by the clients.
7. Experienced in handling service now data using Python REST API and building the Data warehouse and producing insights to avoid the SLA breach.
8. Responsible for Presenting Dashboards to Executives, Senior Directors, CDM, Managers, and Clients.
9. Worked in CSAT to measure the customer satisfaction level for the cloud product and the entire team performance given by Virtustream to the Clients.
10. Developed using SNOW, Python, Postman, MySQL, Talend, Cube Writer, Tableau, Machine Learning, and MatrizCX.
Business intelligence tools
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