Coordinate with Client and Onshore team for Data Collection for Market Mix Modeling Prepared a roadmap for the project execution into different phases Guided the team of Data Scientists in collecting the marketing, performance and control data and building the model Reviewed and analyzed the data for the data pre-processing Built National level model and presented to client with the visualization on Model performance Working on building the models for Granularity at weekly level Tracking the model for a better performance

Harnessed the torrent of raw data into actionable insights Translated the analysis results into Business recommendations Based on historical data built and deployed ML model to predict customer cohort, channel and geography that may perform better in future event Draw the hypothesis on past campaigns data Involve in Client discussions and understand their objectives and pain areas and come up with predictive solutions Design & Develop Analytical reports on Digital Marketing data from different channels such as FB and DV360 Analyzing the FB Static and Video and Google Display and Youtube Video data to generate metrics using Python

• Playing dual role as Automation Lead and Data Scientist
• Identified, analyzed, and interpreted trends or patterns in complex data sets
• Working on Business Process KPI prediction using Deep Learning
• Developed text classification using SVM, Decision Tree classifier and compared accuracy results
• Delivered analytics reports in Splunk
• Designed and Developed analytics based solutions that produce quantitative and qualitative business insights.
• Leading the team of Data Scientists for Business process KPI prediction
• Implemented Yellow Messenger Chatbot for Knowledge Management

• Developed Ticket Analytics program using python that helped in 80?fort reduction in ticket analysis
• Identified Automation opportunities from Ticket Analytics program and delivered around 30 use cases that helped in reducing 30% ticket count.
• Developed data driven solutions using ML/DL/Statistical methods for the entirecustomer journey
• Designed and Developed image recognition using deep learning algorithms
• Lead Splunk Analytics team to build Dashboard in Splunk to derive insights on ticket data and Service Reports
• Developed Google Dialog flow Chatbot for life sciences industry

Ideated, designed and lead the development team for the Ticket Analytics program using python that helped in 80% effort reduction in ticket analysis Identified Automation opportunities from Ticket Analytics program and delivered around 30 use cases that helped in reducing 30% ticket count. Developed data driven solutions using ML/DL/Statistical methods for the entire customer journey Designed and Developed image recognition using deep learning algorithms Lead Splunk Analytics team to build Dashboard in Splunk to derive insights on ticket data and Service Reports Developed Google Dialog flow Chatbot for life sciences industry.

• Developed Splunk Analytics Dashboard showing the ticket trend
• Turned around a trouble project into better performing project by identifying problem areas using Text Analytics and Data classification using clusters and fixing the root cause
• Lead the team on internal initiative to build Industry specific Data Analytics asset ( Data collection using web scraping and Beautiful soup, Text preprocessing including stop words removal and building multiple supervised learning models such as Fischer Discriminant Analysis and SVM)
• Implemented Python program to integrate with ServiceNow for automated ticket creation
• Managed the Analytics team for the development of 115 reports (BIP and OBIA) with 13 FTE and 2400 person days of effort within span of 6 months for an Ireland Government Client

Developed Splunk Analytics Dashboard showing the ticket trend Turned around a trouble project into better performing project by identifying problem areas using Text Analytics and Data classification using clusters and fixing the root cause Lead the team on internal initiative to build Industry specific Data Analytics asset ( Data collection using web scraping and Beautiful soup, Text preprocessing including stop words removal and building multiple supervised learning models such as Fischer Discriminant Analysis and SVM) Implemented Python program to integrate with ServiceNow for automated ticket creation Managed the Analytics team for the development of 115 reports (BIP and OBIA) with 13 FTE and 2400 person days of effort within span of 6 months for an Ireland Government Client

• Managed contract finance and delivery with 55 FTE from offshore; 11800 person days of effort from offshore
• Resource management to meet capacity services need as per contractual terms
• Provide weekly status updates on Metrics and Financial status to leadership
• Proactively monitored, manage and reported on execution of deliverables

Managed contract finance and delivery with 55 FTE from offshore; 11800person days of effort from offshore Resource management to meet capacity services need as per contractual terms Provide weekly status updates on Metrics and Financial status to leadership Proactively monitored, manage and reported on execution of deliverables

As a Service Delivery Manager, defined the support process keeping client defined process into consideration Effectively triaged and managed team for quick resolution. Liaised with Business and queued the defect releases for CAB approvals and planned the releases without Business impact. Provided daily metrics to leadership and client stake holders on ticket inflow and resolution application wise. Identified critical areas and manual tasks and provided automated solutions which reduced the ticket count by 20% As a development lead, planned and lead the execution of a comprehensive deployment plan, including work planning, scheduling, budgeting, metrics, training, pilots and resources Planned and implemented development for 150 RICEFWs across HRMS, PTP and OTC functionalities in Oracle Applications (R12.1.3) Designed environment strategy, configuration management & release management processes

Played key role as an Onshore Coordinator from Cape Town, SA in resolving the functional clarifications and developed critical objects on Oracle workflow Closely worked with the Client Team to get the functional issues clarified on time Reviewed all offshore deliverables such as TDD, Code, UTP and IG

Led the team of 10 in development and in testing support in modules Order Management, Purchasing and General Ledger Liaised the onshore and offshore team for smooth transition of FDD walkthroughs and raising the FDD clarifications Customized standard receipt form in purchasing and developed custom forms in order management Extensively worked on forms personalization to meet specific needs of client requirements

Designed and Developed Oracle Workflow Developed Inbound and Outbound Interfaces Designed custom workflow and conducted workshops with client