Research Assistant Resume
CAREER PROFILE:
I am a Quality Engineer/ six sigma specialist experienced in business process and product improvement, data analysis, product analysis, product specification and managing customer expectation through process analysis. Excellent skill in using quality tools, statistical process control, quantitative and qualitative data analysis, documentation, research, reporting, Prioritization and presentation. I have the ability to use A.G.I.L.E, Scrum and Waterfall methodology in a project environment as well as risk management, project control, resource management, project co - ordination and requirement gathering. Fully qualified and experienced in Microsoft excel, Access, project, power point, word, quality companion and Minitab.
KEY SKILLS:
Change management: ERP/CRM, SWOT analysis, Maslow, Herzberg, SMART, RACI, 5P’s, Maslow, Kotter’s change approach. Technical, social and conceptual managerial skills. Hofstede analysis, Peter and waterman cultural values, STEEPLE, PESTLE, PEST, five forces model, PDCA cycle and 7’S model analysis. Stakeholder management, continuous process improvement and performance management.
Project management: RAID (Risk Assumptions Issues Dependencies), stakeholder analysis, project close report, status report, issue report, lessons report, progress report, benefit review plan, change request, project checklist, check point report, end project report, highlight report, user stories, wire frame, UX designer
Lean: 5s, FMEA, Fish bone, pull and push, Kanban, Kaizen, Value stream mapping, and cycle time analysis.
Six Sigma methodologies: DMAIC, Statistical process control, descriptive statistics, variable and attribute data analysis, sampling technique, inferential statistics, regression analysis, hypothesis testing, design of experiment (DOE & gauge R&R) and control charts.
Facilitation and Business Coaching: Lean Six Sigma (LSS - Yellow, Green and Black belt level).
CAREER HISTORY
Confidential
Research Assistant
Responsibilities:
- Creating and justifying the Business case using the requirement gathered from the clients and UK rail stations.
- Gathering, verifying and prioritizing functional and non-functional requirements by identifying required facilities in the rail station based on criteria and prioritization of client needs.
- Collection of data from the chosen rail stations and updating spreadsheet daily while using excel packages and Minitab for data storage analysis.
- Conduct literature reviews on requirement gathered by proactively checking on data’s entered.
- Analyzing and identifying the percentage increase skewers, outliers, level of confidence interval and error free data.
- Summarize information and give recommendations based on the result generated from Minitab.
Confidential
Quality Engineer
Responsibilities:
- Identify stakeholders; develop communication plans and documentation of requirements (Voice of the customer) to develop Business Case.
- Implementation of Six Sigma tools to direct and prioritize the limitations and constraints of the project
- Testing the relationship, impact and differences between systematic and unsystematic risk using linear and multiple regression analysis, correlation analysis and scatter diagram.
- Implementation of Quality assurance to determine the relationship between factors affecting the process of services and the output of the process deliverables to stakeholders in compliance with the ISO standard.
- Productivity improvement
- Growth in market share
- Customer retention
- Achieving the required standard
Confidential
Quality EngineerResponsibilities:
- Organize weekly meetings with team members on the project of the process improvement as a champion of the team
- Prepare MRP Improvement Project charter to include problem statement, Goal statement, project scope (in scope and out of scope), cost benefit analysis, stakeholder management, project plan, issues and risks.
- Defined the process using SIPOC, Affinity, CTQ, VOC, MRP reliability and other quality tools
- Analyzing as-is and to-be business process mapping using the Visio and value stream mapping
- Measure the process performance through data collection strategy to baseline process performance as well as creating graphs for visual representations.
- Analyze sources of variation and cost using these quality tools- fish bone diagram, cause and effect diagram, FMEA (failure mode effect analysis), CAPA (corrective and preventive actions), investigate root causes and consider potential solutions.
- Improve the process by verifying potential solution with sponsor and stakeholders, run a pilot test solution, consider potential problems and unintended consequences of the solution and develop preventive and contingency actions to address them.
- Develop an implementation plan and communicate changes to team members.
- Reduce discrepancies and variability in the MRP process
- Produce an accurate inventory forecast
- Efficient use of buyer/planner resources to enhance a proper workflow and accurate lead time
- Critically observing and monitoring the MRP inputs for a proper update
- Reduction of exception messages
- Implementation of planner work bench
