• Key Area:- Data Analytics, ETL Engineer , Continuous Improvement• Design and Implement efficient ETL processes and data pipelines in cloud environment.• Develop and maintain statistical data models,dashboards, and reports to monitor key performance indicators (KPIs) andprovide actionable insights to stakeholders• Optimize data pipelines and automate data ingestion processes, apply data manipulation techniques, and perform datawrangling tasks to prepare data for analysis and reporting.• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpfulfor the diagnosis and prediction• Translates business problems to data related or mathematical solution. Identify what methods (for example, Analytics,big data analytic,automation) would provide a solution for the problem.• Collaborate with senior managers and decision-makers to identify and solve problems , getting deeper dive onto RCA(Root Cause Analysis) and clarify management objectives.• Present data-driven insights and recommendations to senior management and other stakeholders in a clear and concisemanner.• Perform validation and testing of models to ensure adequacy and reformulate models as necessary.• Help in driving Continuous Improvement using Lean Six Sigma Strategy and collaborate with Service Management andother technology groups.• Good Understanding of ITIL Processes and experience with ServiceNow Reporting.• Skills Earned:- ETL/ELT, Data Wrangling, Power Platform Automation,Azure Data Factory, Hive, Snowflake,DataVisualization,Data Analysis, Data Science,Power-BI, SQL Query,SSAS,SSMS DAX Query, Python, Lean Six Sigma,Advance Excel, Statistics, O365, Critical Thinking, Leadership, Decision Making, Communication

Worked in IT Operations domain as Data Analyst.1. Prepared Reports on several KPIs to summarize operational results2. Analyzed corporate intelligence data to identify trends and patterns3. Platform and Technology Used:- PowerBI, DAX Query, SQL Query4. Identified support issues and initiated actions for resolution5. Designed training and system documentation to facilitate training sessions

1. Worked in Conversational AI using Rasa Framework.2. Worked on an artificially intelligent chatbot called Selena Chat chatbot that was built to be the world’s first virtual education counselor and has had a direct impact on the company’s revenue for the year.3. Played a vital role in establishing the ML Ops pipeline for the project.4. Worked on various Natural Language processing algorithms like TF-IDF to make it more efficient and productive, also worked on some concepts of Recommendation Engine.5. Worked in CI/CD and deployment of the bot and got a good hold of AWS and Rasa Framework.