SUMMARY

• Engineer/Statistician wif a history of professional accomplishments which me has achieved by applying a unique combination of my organizational, mathematical, programming and cognitive problem solving abilities.

TECHNICAL SKILLS

• Big Data Analysis using R
• Design of Experiment
• Statistical Programming (R, MATLAB, SAS)
• Quality Management
• Tableau, QlikView, SpagoBI
• Response Surface Analysis, Time series analysis
• Senior Leadership Communication
• Strategic Planning
• Statistical Process Control
• Reliability Engineering
• Regression Analysis, Logistic, Decision Tree Modeling
• Model Validation
• Six Sigma Implementation
• Hadoop, RHive
• Project Management
• Programming (C#, JAVA, VBA)

PROFESSIONAL EXPERIENCE

Confidential

Statistician / Analytical Consultant

Responsibilities:

• Developed an automated and self - sustainable generalized business process monitoring tool using only zero-cost open source resources dat:
• Allows setting up a statistical process monitoring tool for any business data stream wifin hours. This tool is widely used in the organization for monitoring many business processes
• Leverages millions of control charts at a granular subgroup level to effectively detect shifts in behavior and generate actionable alerts based on concepts of stability, capability and customized trigger criteria
• Automatically and continuously updates data, generates alerts, and adjusts control limits when needed
• Developed an automated tool to monitor the usage levels of 150k customer accounts in order to:
• Recognize specific trends and generate alerts requesting intervention from customer retention, cross-sell, up-sell and pricing teams.
• Compare a customer’s usage to their “peer group” to identify opportunities for business development.
• Implement an experimentation model studying the effect of various training or intervention programs on the customers’ usage of our products.
• Predict prospective customers’ usage of our products and model the pricing structure.
• Developed an automated tool to monitor the inflow of customer complaints and generate alerts when an adverse trend is identified.
• This tool leveraged Shewhart’s control chart methodology to monitor volume and SLA-Non Compliance across 25k granular rational subgroups.
• This tool allows the user to control the depth of analysis depending on their focus and leadership level.
• Developed unique visualization tools dat leverage effective aggregation of data, coloring schemes and predictive insights to display large amounts of data in a comprehensible and aggregated presentation wifout losing the granularity of insights.
• Deliver training to employees including senior leadership on using various internally developed tools.
• Manage licensing of third party software tools.
• Developed statistical models to explain and predict economic indicators like unemployment claims.
• Actively working on understanding the network relationship between business entities to calculate the supply chain risk from natural disasters and other disruptions.

Confidential

Quality Engineer

Responsibilities:

• Developed the statistical process control mechanism to identify adverse trends in failure modes of products
• Performed root cause analysis on adverse events and prepared plan of actionProcess Improvement (Six Sigma):
• Developed improved design and work instructions for the complaint handling work stream

Confidential

Quality Engineer

Responsibilities:

• Developed and implemented the mechanism for automated trend analysis of incoming complaints to alert the stakeholders of systemic or platform specific risk issues.
• Developed the Data Analysis and Trending procedure for the organization.
• Provided analytic support to Quality & Regulatory teams. Created in-depth reports to aid the decision making process of the management and the business.
• Developed a BI Dashboard for the quantitative analysis of customer complaints aiding in investigation of issues and providing statistical rationale for Regulatory agencies to justify actions and non-actions.
• Developed, Implemented and Maintained business metrics and KPIs.
• Assessed Cost of Non Quality and suggested measures to control.
• Performed Root Cause Analyses for CAPAs, Prepared Sampling Plans for and evaluated effectiveness of the CAPAs.
• Managed Compliance related CAPAs, and guided CAPA Owners through the CAPA process.
• Developed relationships and network through across Business Units to distribute review activities, speed up the execution of CAPA Phases and overcome the challenges due to lack of resources.
• Support various remediation activities of the business to achieve compliance and improve quality. Compiled weekly reports measuring the effectiveness of various Q&R processes and identifying opportunities for process improvement.
• Provided data analysis support during external and internal audits and functioned as the Subject Matter Expert function for Data Analysis and Trending.
• Developed automated tools for ensuring compliance of closed complaints to FDA regulations and organizational procedures.

Confidential

Project Management

Responsibilities:

• Supported multiple projects aimed at market positioning by developing new applications for current CT systems.
• Collected inputs from key opinion leaders and customers and applied clinical knowledge to prioritize and integrate requirements.
• Supported multiple beta sites globally wif their statistical modeling and analytics needs.
• Prepared periodic project updates, action items, directives and marketing material.Problem Solving and Innovation
• Providing developers wif clinical insights for algorithm development in oncology applications.
• Evaluated and guided application development by third-party labs.
• Analyzed data collected from various research projects to recognize market opportunities.
• Developed a MATLAB prototype for a CT radiation dose lowering algorithm. Created a “Try & Buy” program demonstrating 50-80% dose reduction resulting in multiple in new orders in one month.