Sonia Shetty

• Identified and documented detailed business rules and use cases based on requirements analysis.
• Researched and resolved issues regarding integrity of data flow into databases.
• Tested data prediction algorithms based on historical data.
• Designed and implemented tools to support strategic value chain optimization initiatives.
• Identified, analyzed and interpreted trends or patterns in complex data sets.
• Utilized data visualization tools to effectively communicate business insights.
• Used statistical methods to analyze data and generate useful business reports.
• Developed tables, views and materialized views using SQL.
• Participated in requirements meetings to understand business needs.
• Collaborated with business-unit leaders to identify and prioritize problems.
• Extracted and interpreted data patterns to translate findings into actionable outcomes.

• Identified and documented detailed business rules and use cases based on requirements analysis.
• Researched and resolved issues regarding integrity of data flow into databases.
• Tested data prediction algorithms based on historical data.
• Designed and implemented tools to support strategic value chain optimization initiatives.
• Identified, analyzed and interpreted trends or patterns in complex data sets.
• Developed required policies and procedures that reflected actual goals, tasks and workflows, while meeting all regulatory compliance requirements.

• Assist professor with classroom instructions, prepare presentations for lectures and grade the exam papers.

• Participate in the assessment process using a variety of methods and techniques and provide effective timely and appropriate feedback to students to support their learning. Support with research projects; engaged in literature searches

• Performed data cleaning & transformation on data sets using Python

• Converted data into actionable insights by predicting and modeling future outcomes. Integrated customer survey data, sales, inventory of product from Oracle DB into Qlik sense dashboard/visualization toolsets for data intelligence and analysis

• Developed Predictive model using Winter method technique, Predictive Model is being used to generate sales forecast & raise the Purchase order for the product with suppliers

• Created project status reports in PowerPoint and communicate project progress to clients and presented the final report to stakeholders.

• Promote a culture of continuous process improvement across the bank which will ultimately lead to reduced operating costs, expanded capacity, reduced operating risk, improved customer service and greater employee engagement.

• Worked with cross-functional teams to collect, manage data and analytic projects. Solving client analytics problems and communicates results and methodologies.

• Led opportunity identification, design conceptualization with elements of process re-engineering, development & deployment of automated solutions using robotics to deliver tangible benefits for the organization

• Collaborated with Senior management and operations teams to lead business excellence programs and acting as a change agent.

• Identified improvement opportunities in different areas of the business and defining them on a charter. Leading/mentoring/facilitating the chartered BE projects using appropriate tools & Methodologies, to their successful completion, in time

• Working aggressively with all the Functional heads to close all the gaps/ issues within their functions

• Maintain and manage critical data of the business along with meaningful dashboards. Ensuring clear documentation of all the work/ projects/ activities as a storyboard. Worked with Data analysis tools like Alteryx, Tableau, SPSS, Minitab, JMP pro

• Analyzed key aspects of business to evaluate factors driving results and summarized into presentations.
• Led cross-functional teams to analyze and understand enterprise-wide operational impacts and opportunities of technology changes.
• Evaluated trends to understand competitive environments and assess current strategies.
• Performed competitor bench-marking analysis to identify manufacturing savings opportunities and potential product enhancements.

• Gather requirements for business definition and facilitate JAD/JAR sessions with stakeholders to refine functional requirement

• Responsible to write User stories, creating Use Cases, Use case diagrams, Workflow Diagrams, Sequence Diagrams, and Class Diagrams etc.

• Expert in Tracking and Managing the Requirements using Requirement Traceability Matrix (RTM) that controls numerous artifacts produced by the teams across the deliverables for a project.

• Identify and remove obstacles that will keep the team from achieving their goals

• Support the product owner in maintaining the product backlog and scheduling next release

• Communicate with clients and inform the organization about the customer business needs

• Controlled costs and optimized spending via restructuring of budgets for labor, capital assets, inventory purchasing and technology upgrades.
• Expanded cross-functional organizational capacity by collaborating across departments on priorities, functions and common goals.
• Reduced process bottlenecks by training and coaching employees on practices, procedures and performance strategies.
• Recruited and hired top performers to add talent and value to department.

• Drove high impact projects involving multiple stakeholders for Productivity Improvement, TAT reduction and Accuracy improvement. Exhibited the necessary analytical skill sets & project management attributes to lead & drive Six Sigma, Lean, LEAP & Kaizen Projects for continuous process improvement

• Led Six Sigma trainings for several businesses focusing on process mapping, value stream mapping, data analysis, process improvement techniques, lean principle & tools, visual management system & other process improvement techniques

• Conducted Capacity Modeling exercise to right size operations in offshore & onshore locations like Bangalore, NY, London, & BHM

• Created Predictive Model to predict incoming volumes enabling operations to plan better for staffing in peak/non-peak season & constraint-based business models to identify impact on capacity due to variation in constraints like processing rate, return rates, queries