BUSINESS PROCESS IMPROVEMENT TRAINING SOLUTIONS
INTRODUCING YOUR SIX SIGMA SPECIALIST
Parwez Ansari is a Business Process Improvement Consultant, a CSSC accredited mentor and Trainer, Master Black Belt in Lean Six Sigma with 35+ years of experience across FMCG, Chemical, Engineering, Utilities, Automation, and R&D sectors. Over his career, he has led 150+ Lean Six Sigma projects with 250+ Managers trained that delivered 20–50% cost savings, quality improvements, and measurable business impact. He is known for simplifying complex concepts, using real case studies, and creating a culture of continuous improvement.
Training is delivered through interactive, industry-relevant sessions supported with data, examples, and practical exercises. His strength lies in transforming organizations through data-driven decision-making, automation, and structured problem-solving. He combines deep technical expertise in electricals, automation (PLC/SCADA), and analytics (Minitab, JMP, SPSS, Python) with leadership in cross-functional areas such as supply chain, sales, IT, and R&D. Known for building problem-solving cultures, He has successfully trained and mentored Yellow, Green and Black Belts, while enabling organizations to achieve sustainable growth. He thrives in roles that blend strategy, innovation, and execution to unlock efficiency, reduce costs, and accelerate transformation
TRAINING SERVICES
Why Choose Me
35+ years of cross-industry experience
150+ successful improvement projects
Master Black Belt – Lean Six Sigma
Expert in data analytics, forecasting, and statistical modelling
Strong engineering, utilities & automation foundation
Proven track record in capability building (250+ trained)
Practical, business-impact-driven consulting style
TRAINING SERVICES
1. Lean Six Sigma Yellow Belt (DMAIC Methodology)
(With DMAIC, Lean, 7 QC Tools, RCA, Practical Exercises)
Duration: 2 Full Days
Style: Hands-on, activity-based, Practical- problem-solving
Outcome: Participants can independently solve small–medium problems and support GB/BB projects.
2. Lean Six Sigma Green Belt (DMAIC Methodology)
Duration: 3 Full Days— (Fast-Track)
Style: Hands-on, activity-based, Practical- problem-solving
Outcome: Participants gain the skills to independently solve medium-complexity problems and contribute effectively to organizational improvement projects, with initial one or two Handholding Support.
DAY 1
· Foundations & Problem Solving
DAY 2
· Data Analysis & Lean Improvement
DAY 3
· Advanced Insights & Project Execution
Tools: 25–30 tools
3. Lean Six Sigma Green Belt (DMAIC Methodology)
Duration: 5 Full Days— (Skill-Building)
Style: Hands-on, activity-based, Practical- problem-solving-Exercise
Outcome: Participants can solve medium-Fairly Complex problems with Handholding and can support BB projects.
DAY 1 — DEFINE
· Build a solid foundation by learning how to define problems accurately, convert VOC into CTQs, create SIPOC diagrams, map processes, identify waste, and understand basic data concepts. VOC to CTQ
DAY 2 — MEASURE
· Develop strong measurement and analytical skills through data collection techniques, basic MSA, statistical foundations (Normal/Binomial/Poisson distributions), graphical analysis, and basic capability studies
DAY 3 — ANALYZE
· Learn how to validate causes using t-tests, chi-square, ANOVA, regression, correlation, RCA tools, and the C&E Matrix to identify true drivers of process variation.
DAY 4 — IMPROVE
· Explore practical Lean tools (5S, SMED, Poka-Yoke), design effective solutions, plan pilots, and get introduced to DOE for optimizing process performance.
DAY 5 — CONTROL
· Master control mechanisms including SPC, control charts, FMEA, control plans, and dashboarding to ensure improvements are sustained long-term.
Tools: 40–45 tools
3. Lean Six Sigma Black Belt (DMAIC Methodology)
Duration: 5 Full Days— (Fast-Track)
Style: Hands-on, activity-based, Practical- problem-solving
Outcome: Participants can lead and execute medium-to-complex improvement projects using Lean Six Sigma tools, apply intermediate-to advanced analytical techniques, and drive solutions with limited handholding while supporting organizational GB/BB initiatives.
DAY 1 – DEFINE
· Develop clarity and focus with business case creation, advanced problem definition, VOC-to-CTQ translation, detailed process mapping, VSM overview, and project scoping. Teaming, Return on Investments Calculations
DAY 2 – MEASURE
· Build strong measurement discipline through data collection planning, MSA basics, foundational statistics, probability concepts, and Advance capability analysis.
DAY 3 – ANALYZE
· Dive deeper into analytical thinking with hypothesis testing (Z/t/chi/ANOVA), light regression, Fishbone and 5 Why RCA, C&E Matrix, and prioritization tools for root cause validation.
DAY 4 – IMPROVE
· Learn practical improvement tools including 5S, Poka-Yoke, SMED, structured solution design, DOE, and pilot planning for tested improvements.
DAY 5 – CONTROL
· Strengthen sustainability practices with basic SPC, effective control plans, SOP enhancements, visual controls, and project closure techniques.
Tools: 30–45 tools (leaner analytics)
4. Lean Six Sigma Black Belt (DMAIC Methodology)
Duration: 10 Full Days— (Deep-Full Practical)
Style: Hands-on, activity-based, Practical- problem-solving-Exercise
Outcome: Participants can independently lead and deliver complex, cross-functional Lean Six Sigma projects, apply advanced statistical, DOE, Lean system design, and optimization tools, and drive organization-wide improvements with minimal to no handholding.
Details can be shared on request of Interest
Tools: 60–90 tools (deep analytics)
5. Root Cause Analysis – Basic (One Day)
Aligned with: ISO 9001 • ASQ Quality Tools • 8D (D2–D4)
Designed for: Supervisors • Executives • Team Leaders • Support Functions
Focus: Simple–moderate issues, practical tools, fast application
Participants will be able to define problems clearly, use 5 Why, Fishbone, Is/Is-Not, Pareto, and implement ISO-compliant corrective actions for simple-to-medium recurring issues.
6. Advanced Root Cause Analysis – (1-Day)
Aligned with: Apollo RCA • Kepner–Tregoe (KT) • Shainin RCA
Designed for: Engineers • Managers • Analysts • Senior Staff
Focus: Complex, chronic, cross-functional problems
7. Statistical Decision Tools Training -- (1- Day)
Practical statistical thinking + decision-making tools used in daily operations & improvement projects
Participants will be able to:
✔ Make decisions using data, not opinions
✔ Use practical statistical tools (histogram, Pareto, scatter, run chart)
✔ Select best options using structured decision tools
✔ Evaluate risk before implementing solutions
✔ Validate decisions with evidence
✔ Explain decisions visually to stakeholders
8. Forecasting Training (1-day)
Practical forecasting tools + business interpretation + Excel/Minitab -based techniques
Sales, production, planning, SCM forecasting.
Participants will be able to:
✔ Understand and analyze data patterns (trend, seasonality, variation)
✔ Use practical forecasting techniques (MA, WMA, Exponential Smoothing, Regression)
✔ Measure forecast accuracy and improve prediction quality
✔ Build simple forecasts using Excel
✔ Apply forecasting to business decisions in supply chain, finance, operations, staffing
9. Predictive Modelling-Basics Plus (1-Day)
Practical methods + real business application + no heavy mathematics
Using Minitab/JMP for predictive analytics.
Participants will be able to:
✔ Understand predictive modelling concepts clearly
✔ Prepare data for modelling (cleaning, transforming, splitting)
✔ Build simple predictive models (Regression, Logistic, Decision Tree)
✔ Evaluate model accuracy using practical metrics
✔ Apply predictive models to real business problems
✔ Use Excel/Minitab-based modelling and understand when to use ML tools
✔ Present results visually and make business decisions
10. DOE Training— (1 Day)
Focused, practical DOE tools for solving real-world process problems
Formulation optimization, process tuning, R&D-ready designs.
Participants will be able to:
✔ Understand how DOE helps identify key process factors
✔ Plan and conduct simple 2-level experiments
✔ Develop experimental matrices
✔ Analyze results using main effects & interaction plots
✔ Identify optimum settings for process improvement
✔ Apply DOE to quality, productivity, service, and operational problems