Manufacturing Leadership Portfolio
2013 – 2025

Kamil
Zigen

Manufacturing & Operational Excellence Leader
15+ Years · Automotive Tier 1 · CNC Systems · Precision Machining
I solve manufacturing cost, quality, and delivery problems that organisations have stopped questioning — by finding the real root cause and building the business case to fix it permanently.
Six documented projects. Verified data from real production systems. Measurable, sustained results.
€447K
Annual cost savings
delivered (portfolio case studies)
+25pp
OTD improvement
70% → 95%
−30%
Cycle time reduction
CNC pilot systems
15+
Years manufacturing
Automotive Tier 1
01

Project Index

P1
Gundrill Reconditioning Program
BorgWarner · Project Leader · 6 months · LSSBB / DoE / SPC / Change Mgmt
Highest indirect cost item in the plant. Built internal reconditioning capability — tripling tool life from 7 to 21 cycles. Zero quality degradation confirmed via SPC and PFMEA re-validation.
€300KAnnual savings
P2
Tooling Consolidation — LP Pipe Drilling
BorgWarner · Process Leader · 4 months · RCA / PFMEA / A3 / SPC
Chronic drill breakage threatening customer complaints. Eliminated by simplifying two-tool setup to single 2-flute drill, validated by SPC. Monthly drilling cost reduced from ~€5,000 to <€700.
€127KAnnual savings
P3
Rail Milling Insert Optimisation (LNMX → LNHU)
BorgWarner · Process Leader · 5 months · DMAIC / Kaizen / Supplier Mgmt
Top consumable cost driver causing process instability. Supplier geometry change eliminated unplanned changeovers and reduced cost-per-piece by ~40%.
€20KAnnual savings
P4
OTD Recovery · 70.3% → 94.8%
Trio Composites · Plant Manager · 4 months · Lean Scheduling / KPI Design
Delivery performance 20pp below customer target. Proactive tracking dashboard, cross-functional coordination, and buffer management restored performance in four months — sustained to Feb 2023.
+25ppOTD recovered
P5
Manufacturing Strategy — 25 CNC Investment Concepts
Chiron Group · Senior Project Engineer · Capex Planning / Capacity Strategy
25 investment-ready turnkey CNC concepts for automotive customers across DE/TR/EU. Two pilot systems commissioned with zero NCRs at FAT. Up to 30% cycle time reduction confirmed.
−30%Cycle time (pilots)
P6
Machine Reliability & Quality Cost Reduction
BorgWarner · Process Leader · Ball-Bar / RCA / Stakeholder Management
Machine degradation driving chronic scrap and rework. Ball-Bar diagnostics quantified the root cause; ROI business case secured ball screw replacement against active resistance.
−15%Quality cost
Kamil Zigen — Manufacturing Leadership Portfolio 1 / 9

Executive Summary

Kamil Zigen

Manufacturing transformation leader with 15 years across automotive Tier 1, CNC system integration, and precision machining operations. I find what is actually costing money, build the case to fix it, and make the fix stick. My dual expertise — CNC process engineering combined with Lean Six Sigma Black Belt execution — produces faster diagnosis and more durable results than either discipline alone.

Who I Am
Senior Manufacturing & Operational Excellence Engineer. BorgWarner (Tier 1 automotive, 8 years), Chiron Group (CNC integration), Trio Composites (Plant Manager — CNC machining and production management). Lean Six Sigma Black Belt, Shainin Red X Apprentice, Power BI Certified, M.Sc. Engineering Management.
What Makes Me Different
Most engineers are strong in either CNC process engineering or Lean Six Sigma. I operate at both. My machining background means I understand the machine — feeds, tools, tolerances, cycle economics. My LSS background means I measure the problem, structure the solution, and build the organisation's acceptance of the change. That combination consistently produces faster diagnosis and more permanent results.
Core Value Proposition
I find what is actually costing money. I build the case to fix it. I make the fix stick.
Industries
Automotive Tier 1 / 2
Precision CNC / Machining
Machine & System Building
Industrial Manufacturing
High-Pressure Systems
Cutting Tool / Tooling
Business Problems I Solve
  • Rising production costs, no clear driver → data-driven cost analysis and process redesign
  • Recurring quality failures despite containment → structured RCA to eliminate the real root cause
  • Delivery performance below target → KPI-driven planning systems and cross-functional execution discipline
  • Capital investment needs validation → investment-ready concepts with time studies and financial models
  • Machine degradation driving scrap → diagnostic evidence plus ROI business case to secure the budget
  • Setup errors recurring on critical parts → PLC-level error-proofing, not procedural controls
€447K
Documented annual
cost savings
200%
Tool life increase
Gundrill P1
94.8%
OTD sustained
from 70.3% baseline
25
CNC investment
concepts delivered
0 NCR
Non-conformities
at FAT commissioning
Location
Leipzig, Germany
Status
Chancenkarte holder · Available immediately
Languages
English C1 (Professional Working Proficiency) · Turkish Native · German A2 → B1
Certifications
Lean Six Sigma Black Belt · Shainin Red X Apprentice · Power BI
Kamil Zigen — Manufacturing Leadership Portfolio 2 / 9
Business Case for Hiring
Kamil Zigen

Why Companies
Hire Me

Each situation below reflects a real project. The pattern is consistent: an unresolved business problem, missing data to justify solving it, and a permanent fix.
Manufacturing costs are rising — driver unknown
I analyse cost data at tool and process level, isolate the dominant driver, and redesign the strategy to remove it. At BorgWarner, this produced €427K across two projects by challenging assumptions that had been accepted for years.
Quality defects keep returning despite containment
Containment without root cause is the most expensive loop in manufacturing. I use structured 8D / 5 Whys / Ishikawa to find the true cause, implement permanent countermeasures, and close through updated PFMEA and SPC controls.
On-time delivery is below target
I design KPI-driven planning systems and proactive monitoring that surface at-risk orders before the deadline is missed. At Trio Composites, this moved OTD from 70.3% to 94.8% in four months without adding headcount.
Capital investment needs validation before approval
I develop investment-ready concepts with time studies, financial models, and risk assessments. At Chiron Group, 25 such concepts were delivered — two pilot systems commissioned with −30% cycle time and zero FAT non-conformities.
Machine degradation is driving scrap — budget is blocked
I quantify the cost of poor machine condition through Ball-Bar and capability diagnostics, build the ROI case, and use data to overcome organisational resistance. Secured ball screw replacement at BorgWarner against active Production Manager opposition.
Error-proofing needed at engineering grade
I design poka-yoke at PLC level — not visual reminders. At BorgWarner, a fixture-based program and gage verification system linked part type, CNC program, and gage in a single validated sequence. Zero recurrence post-implementation on Audi V6 HPS components.
Process instability creates unpredictable downtime
I introduce SPC monitoring, identify assignable causes, and stabilise through design changes or supplier corrections. Stable processes are locked through updated control plans and PM schedules to prevent reversion.
New CNC system launch requires quality leadership
I lead FMEA-based risk management, NPI validation, and FAT execution in multi-country environments. Managed commissioning and quality assurance for CNC system launches across DE, TR, and EU customer sites.

The common thread: the problem was known, but the data to justify solving it did not exist. My role is to generate that data, build the business case, and lead the organisation through the change.

Kamil Zigen — Manufacturing Leadership Portfolio 3 / 9
Case Study P1 · Cost Reduction
BorgWarner İzmir · 2020–2021

P1 · BorgWarner · Automotive Tier 1 · IATF 16949 · Audi V6 HPS

Gundrill Reconditioning
Program

Project Leader · 6 Months · Lean Six Sigma Black Belt · DoE · SPC · PFMEA · Change Management

Business Challenge
Step Gundrills were the single largest indirect cost item — €629K annually, 27.5% of total indirect tooling spend. Tools were discarded after just 7 regrinding cycles because no reconditioning capability existed. The spend had been accepted as unavoidable for years. No one had challenged it with data.

Pareto analysis confirmed Gundrill as the dominant cost driver: €629K / year — ahead of inserts (€497K), carbide milling (€413K), and drills (€276K).

My Role
Project Leader. Full ownership from cost baseline analysis through DoE execution, PFMEA re-validation, and the change management effort to get production to accept reconditioned tools on safety-critical Audi V6 HPS components.
Approach — DMAIC
Define
Cost baseline
→
Measure
Pareto analysis
→
Analyse
DoE geometry
→
Improve
Reconditioning
→
Control
SPC + PFMEA
Key Learning
The technical challenge was solved within weeks. The real barrier was organisational: production was unwilling to use reconditioned tools on Audi safety parts. The breakthrough came from presenting SPC Cpk values (≥1.67) alongside the updated PFMEA. Data made the change unavoidable.
Standard gundrill (TBT single-flute deep-hole drill) — 7-cycle regrind limit before the reconditioning program
Standard Gundrill
TBT · 7-cycle limit
Step gundrill (TBT) — BorgWarner's highest indirect tooling cost item before reconditioning
Step Gundrill
TBT · highest cost item
Gundrill Monthly Cost Trend — Real Production Data (€)
€20K€39K€58K€77K€95KAction takenJan'20MarJunAugOctDecFebAprJunAugSep€27K
SOURCE: BorgWarner indirect tooling cost report
ACTION: Jan 2021 reconditioning programme start
RESULT: Peak: €95,251 (Dec '20) → sustained <€35K
Implementation
  • In-house carbide tip cutback and resharpening at defined geometry parameters
  • DoE confirmed 21-cycle life limit and optimal regrind depth
  • SPC charts introduced — post-regrind dimensional stability monitoring
  • PFMEA re-approved — quality risk unchanged across 21-cycle life
  • Supplier dependency removed; internal capability built for the first time
€300K
Annual cost savings
documented & sustained
200%
Tool life increase
7 cycles → 21 cycles
Cpk≥1.67
Process capability
maintained post-regrind
0
Customer complaints
after implementation
Kamil Zigen — Manufacturing Leadership Portfolio 4 / 9
Case Studies P2 + P3 · Process Simplification
BorgWarner İzmir · 2018–2021

P2 · BorgWarner · LP Pipe Drilling Line

Tooling Consolidation
& Complaint Risk Elimination

Process Leader · 4 Months · RCA / PFMEA / A3 / SPC

Business Challenge
  • Unpredictable 3-flute drill breakage — up to 12 units/week on LP Pipe components
  • Monthly drilling cost ~€5,000; each breakage a potential quality escape
3-flute drill before tooling change — root cause of unpredictable breakage on the LP Pipe drilling line
2-flute drill after tooling consolidation — breakage eliminated
Before — 3-flute drill, breakage root cause  ·  After — 2-flute drill, breakage eliminated
Cycle Time Before vs After (min/pc)
1.372.734.105.475.47Before5.07After
5.47
Before (min/pc)
5.07
After (min/pc)
−7.3% cycle time. Two-tool setup eliminated. SPC confirmed sustained process stability within 3 weeks.
Weekly Tool Breakage Count — LP Pipe Line
369123W50'209W5111W528W2'2112W33W44W5
Peak: 12 units/week (W3'21) · Post-action: 3–4 · Complaint risk: zero
LP Pipe Drilling Cost — Monthly (€)
€463€1,740€3,018€4,295€5,572Action takenJ'20MMJSNJ'21MMJSO€633
Source: BorgWarner cost report · Action: Apr 2021 · ~€5,000/month → <€700/month · 22 data points
Implementation
  • RCA: 3-flute geometry fundamentally mismatched to material and feed conditions
  • A3 problem-solving mapped failure mode; PFMEA updated
  • 2-flute drill qualified via dimensional study and SPC validation
  • Control plan updated; tooling standard locked
€127K
Annual savings
−7%
Cycle time reduction
0
Complaint risk eliminated

P3 · BorgWarner · Rail Milling · 2017–2018

Rail Milling Insert
Optimisation · LNMX → LNHU

Process Leader · 5 Months · DMAIC / Kaizen / Supplier Mgmt
LNMX rail milling insert (Iscar) — before, top cost driver LNHU rail milling insert (Walter) — after, process-matched geometry
LNMX (Iscar) — Before, top cost driver  ·  LNHU (Walter) — After, process-matched
Face Milling Cost / Piece (€) — 24 months real data
€0.0108€0.0163€0.0217€0.0272€0.0327Action taken1/174/177/1710/171/184/187/1812/18€0.0148
Action: May 2018 — LNMX replaced by LNHU · Sustained cost/pc reduction confirmed
Challenge & Approach
  • LNMX inserts were the top consumable cost driver; premature replacement caused instability and unplanned downtime
  • Collaborated with Walter to identify process-matched LNHU geometry — DMAIC + Kaizen, validated via capability study and 3-month SPC monitoring
Result
€20K annual savings. Unplanned changeovers eliminated. Cost-per-piece trend confirmed a ~40% sustained reduction from May 2018 — visible in the real data chart above.
Kamil Zigen — Manufacturing Leadership Portfolio 5 / 9
Case Study P7 · Error-Proofing / Quality Engineering
BorgWarner İzmir · 2017

P7 · BorgWarner · Audi V6 HPS · CNC Gundrilling · Op 20

PLC-Based Poka-Yoke
— Audi V6 HPS

Process Leader · 3 Months · RCA (5 Whys / Ishikawa) · PFMEA · PLC Error-Proofing · PPAP

Business Challenge
Recurring depth deviation in Audi V6 HPS components during CNC gundrilling at Op 20. Parts were over-machined when the HPV CNC program was applied to HPS parts at changeover — a 16.5 mm depth parameter mismatch (−213.0 mm vs. required −196.5 mm). A second concurrent failure: incorrect gage used during setup verification, preventing detection. Both failure modes were human-dependent. Both had recurred despite procedural containment applied twice previously.
Root Cause 1 — CNC Program Mismatch (Occurrence) · Before vs. After
✗ Before — HPV Program
Audi V6 HPS part machined with incorrect HPV program — over-length feature CNC editor — HPV program, Phase 2 depth -213.0mm
✓ After — HPS Program
Audi V6 HPS part machined with correct HPS program CNC editor — HPS program, Phase 2 depth -196.0mm
Real Op 20 part photos and CNC editor code — HPV program (Δ Phase 2 = −213.0 mm) applied to an HPS part vs. correct HPS program (−196.0/−196.5 mm). Δ = 16.5 mm over-machining, invisible on the shop floor without a system check.
Root Cause 2 — Gage Selection Error (Detection Failure)
Incorrect HPV gage (red) vs correct HPS gage (green) — visually near-identical
The incorrect HPV gage (red) is visually near-identical to the correct HPS gage (green) — no system flag existed to catch the mismatch during setup verification.
System Solution — PLC Poka-Yoke Logic
Coded PLC connector — physical fixture-to-program interlock at Op 20
Coded PLC connector — physical fixture/program interlock, no operator bypass possible
HMI validation screen showing PASS — ready for deep drilling
HMI screen — part/program/gage 3-way match confirmed, cycle start authorised
Implementation
  • Fixture socket interface: physical connector reads part type automatically at load — no operator input required
  • 3-way PLC validation: part reference → CNC program → gage must all match before cycle start is authorised
  • Machine interlock: any mismatch locks machine; supervisor acknowledgement required to clear
  • No bypass: validation sequence cannot be overridden by operator action under any circumstance
  • PFMEA closure: occurrence and detection ratings both reduced to minimum level
  • PPAP closed — updated control plan validated and approved
Why This Approach
Procedural controls — checklists, operator training, visual reminders — had been applied twice and had failed. When a failure mode carries direct customer consequence, the countermeasure must remove the human decision point at the machine level. PLC-level validation is the only approach that achieves this reliably.

"The only way to guarantee zero recurrence was to make a wrong setup physically impossible to execute. That required a system solution, not a procedural one."

0
Recurrence of program
or gage mismatch
100%
Setup validation
automated at PLC level
PFMEA
Occurrence & detection
closed to minimum
Permanent
System-level fix —
not procedural containment
Kamil Zigen — Manufacturing Leadership Portfolio 6 / 9
Case Study P4 · Delivery Performance
Trio Composites İzmir · 2022–2023

P4 · Trio Composites · Plant Manager

On-Time Delivery Recovery
70.3% → 94.8%

Plant Manager · 4 Months · Lean Scheduling · KPI System Design · Cross-Functional Coordination · Buffer Management

Business Challenge
OTD stagnated at 70.3% average across H1 2022 — 20 percentage points below the 90% customer target. Planning was entirely reactive: problems were managed after delays had already occurred. No shared visibility across production, logistics, and procurement. High expediting costs and deteriorating customer relationships.
Root Cause
  • Procurement delays not visible to production until after production start date
  • Scheduling with no buffer — demand variation translated directly to delivery misses
  • No cross-functional escalation trigger before the due date was missed
Implementation
  • Proactive dashboard: at-risk orders flagged ≥5 working days before due date, visible to all functions simultaneously
  • Daily 15-min stand-up: cross-functional review with defined escalation
  • Buffer management: scheduling absorbs demand variation before it becomes a miss
  • Supplier early warning: material delays trigger rescheduling, not expediting
  • Quality review cadence established — daily shopfloor reviews and RCA routines embedded
H1 2022 Average
70.3%
Average OTD
Jan – Jun 2022
H2 2022+ Average
94.8%
Average OTD
Jul 2022 – Feb 2023
OTD Performance — Real Project Data (Jan 2022 – Feb 2023)
100%Target 90%Baseline 70%60%70%80%90%100%Before · avg 70.3%After · avg 94.8%69%68%75%87%100%93%95%1-222-223-224-225-226-227-228-229-2210-2211-2212-221-232-23
Source: Trio Composites delivery monitoring · 14 monthly data points · All values shown · Before avg 70.3% · After avg 94.8%
Key Learning
OTD problems almost never come from capacity. They come from information arriving too late to act on. The dashboard did not add capacity — it moved the decision point five days earlier. That alone was enough to recover 25 percentage points.
The harder lesson: information without a decision-making forum changes nothing. The daily stand-up was as important as the dashboard.

"The plant did not need more people or more capacity. It needed to know about problems five days earlier."

94.8%
OTD sustained
H2 2022 – Feb 2023
+25pp
Recovery from
70.3% baseline
4 months
Time to target
from project start
+0
Additional headcount
to achieve recovery
Kamil Zigen — Manufacturing Leadership Portfolio 7 / 9
Case Studies P5 + P6 · Strategy & Reliability
Chiron Group · BorgWarner · 2023–2025

P5 · Chiron Group · Senior Project Engineer · 2023–2025

Manufacturing Investment Strategy
— 25 Turnkey CNC Concepts

Senior Project Engineer · Capex Planning · Lean Process Design · Time Studies · FAT / NPI · DE / TR / EU

Business Challenge
Chiron Group customers required investment-ready CNC manufacturing proposals — validated, financially modelled, and risk-assessed — before committing capital to capacity expansion. Scope: 25 distinct applications across automotive Tier 1, commercial vehicle, and precision engineering customers in Germany, Turkey, and EU.
Each Concept Contained
  • Time study: cycle analysis, machine utilisation, takt validation
  • Process design: machining sequence, fixturing, tool selection
  • Financial model: equipment, tooling, runtime cost, payback
  • Supplier validation: cost confirmed before customer presentation
  • FMEA-based risk review integrated into concept package
Chiron Group rotary table CNC machining cell, representative of systems delivered 2023–2025
Chiron Group rotary table CNC machining cell — representative of systems delivered (2023–2025)
25
Investment concepts
designed & delivered
−30%
Cycle time reduction
pilot commissioning
0 NCR
Non-conformities
at Factory Acceptance Test
84
Project actions tracked
2023–2025 · 100% complete
Key Learning
Customers reject proposals not for wrong technology, but incomplete financial models or unquantified risk — integrating FMEA-based risk review moved proposals from "interesting" to "approved."

P6 · BorgWarner · Machine Reliability & Quality Cost

Machine Reliability
& Quality Cost Reduction

Process Leader · Ball-Bar Diagnostics · RCA · Stakeholder Management
Challenge & Root Cause
  • Chronic scrap/rework, no root cause found via standard inspection
  • Ball-Bar testing found geometric degradation — circularity 32.1 μm
  • Replacement investment faced active resistance: "machine is running, cost is not justified"
  • Reversal spikes, backlash & squareness error confirmed in the plot; 6 months of quality cost data correlated — ROI payback <4 months, making the case unanswerable
BUSINESS CASE — BALL SCREW REPLACEMENT ROI Quality Cost (6 months) High · Recurring vs Ball Screw Replacement Payback < 4 months Data-driven ROI case overcame Production Manager resistance Ball-Bar diagnostic report used as primary evidence · 15% quality cost reduction confirmed post-replacement ·
Implementation
  • Ball-Bar report presented to management as quantified evidence — circularity 32.1 μm exceeding process tolerance
  • ROI business case built: quality cost vs. replacement cost; payback <4 months
  • Ball screw replacement approved and executed
  • Post-replacement Ball-Bar confirmed circularity improved to 25.4 μm
  • PM schedules updated to monitor and maintain the new stable state
Ball-Bar Circularity — Before vs. After
Before · 32.1 μm
After · 25.4 μm
Ball-Bar circularity plot before ball screw replacement — 32.1 μm, showing reversal spikes and backlash Ball-Bar circularity plot after ball screw replacement — 25.4 μm, stable geometry Ball-Bar diagnostic trace before replacement — squareness error visible Ball-Bar diagnostic trace after replacement — squareness error corrected
High reversal spikes, backlash and squareness error before — corrected and machine stability locked via updated PM schedule after
32.1μm
Circularity
Before
25.4μm
Circularity
After
−15%
Quality cost
reduction

"The Ball-Bar report became the business case. Data overcame the resistance that authority alone could not."

Kamil Zigen — Manufacturing Leadership Portfolio 8 / 9

Leadership Profile & Contact

Leipzig, Germany · Available Immediately

02

Core Competencies

Lean Six Sigma — Black Belt
DMAIC, Kaizen, VSM, SPC, DoE applied end-to-end across all six documented projects. Shainin Red X Apprentice. Methodology is the diagnostic tool — not the final deliverable.
CNC Process Engineering
Deep fluency in machining economics: tool life, cycle time, fixturing, capex planning. Rare combination with Lean expertise — faster diagnosis, more durable solutions.
Root Cause Analysis
8D, 5 Whys, Ishikawa applied to complex multi-factor failures where mechanical, electronic, and process factors interact. Focus on permanent elimination, not containment.
Quality Systems — IATF 16949
PFMEA, APQP, PPAP, CAPA, SPC as operational tools in Tier 1 automotive. Applied across IATF 16949 automotive environments at BorgWarner and operational quality systems at Trio Composites. PFMEA, APQP, and SPC used as daily tools — not compliance checkboxes.
Stakeholder Management
Secured investment approval against active resistance through ROI-based business cases. Coordinated engineering, quality, operations, procurement, and finance across DE / TR / EU.
Manufacturing Analytics
Microsoft Power BI Desktop – Business Intelligence. Production cost dashboards, OTD tracking, SPC monitoring from raw data. Converts shopfloor measurement into executive-level reporting.
03

Methodology Proficiency

Root Cause Analysis
8D · 5Y · Ishikawa
PFMEA / Risk Mgmt
APQP · PPAP
Statistical Methods
SPC · DoE · Cpk
Project Management
A3 · DMAIC
Error-Proofing
Poka-Yoke · PLC
Data Visualisation
Power BI
Capex / Financial
ROI · Business Case
04

Career Timeline

11/2023–05/2025
Chiron Group — İzmir
Senior Project Engineer
25 CNC concepts · 0 NCR at FAT · −30% cycle time · Multi-country
11/2021–03/2023
Trio Composites — İzmir
Plant Manager
OTD 70.3%→94.8% · Proactive KPI system · P&L responsibility
04/2013–10/2021
BorgWarner — İzmir
Process Leader / Mfg Engineer (Quality & CI)
€447K savings · Audi V6 HPS · PLC poka-yoke · IATF 16949 · 8 years Tier 1
05

Qualifications

Lean Six Sigma Black Belt
Certified
Shainin Red X Apprentice
Advanced Root Cause Analysis
M.Sc. Engineering Management
İzmir Inst. of Tech. · Anabin H+
B.Sc. Mechanical Engineering
Dokuz Eylül Univ. · Anabin H+
Microsoft Power BI Desktop
Business Intelligence
IATF 16949 / ISO QMS
Design & Implementation
06

Technology Stack

Minitab
SPC · DoE · Cpk
Power BI
Dashboards
SAP
ERP · MRP
SolidWorks
CAD · Fixtures
Excel
Analysis · Models
Ball-Bar
Machine Diagnostics
PLC Systems
Error-Proofing
APQP / PPAP
Launch Quality
07

Languages

English
C1
Turkish
Native
German
A2→B1
Kamil Zigen
Phone
+49 177 3787153
Email
kamilzigen@gmail.com
LinkedIn
linkedin.com/in/kamil-zigen
Location
Leipzig, Germany
Portfolio prepared
June 2026
Kamil Zigen — Manufacturing Leadership Portfolio 9 / 9
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