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All 7 professional CV archetypes — …
Daniel Okoro
Operations Manager
Operations leader with 9 years improving fulfilment, CX, and vendor performance across e-commerce and logistics. Scaled teams from 12 to 40, drove on-time delivery from 87% to 96%, and reduced cost-per-order by 14% through process redesign and automation.
- Own end-to-end fulfilment ops for 3 DCs (480k sq ft); on-time delivery improved from 91% to 97% in 12 months.
- Led 38-person team (managers, planners, analysts); instituted weekly tiered stand-ups, cutting backlog by 22%.
- Launched carrier scorecards; underperforming lanes renegotiated, saving $2.4M annually.
- Deployed slotting optimisation with data science; pick-path distance reduced 11%, labor hours -8%.
- Managed outbound operations with 140 associates across two shifts; peak-day throughput +18% vs LY.
- Drove defect rate down 23% via root-cause (5 Whys) and standard work updates across 4 process paths.
- Piloted robotics cell balancing; reduced conveyor jams 15% and improved SLA hits by 6 ppts.
- Promoted 6 high-potential associates into leadership through a structured readiness plan.
- Launched 12 micro-fulfilment sites; average time-to-live 21 days with cross-functional launch playbook.
- Negotiated 3PL contracts worth $6.5M; achieved 9% unit-cost reduction while maintaining SLA >96%.
- Built KPI dashboard (Tableau) for GM and finance; standardized weekly ops review cadence.
- Resolved union grievance risk by redesigning scheduling; absenteeism dropped 12%.
- Supervised 55 package handlers; peak-season throughput +25% with zero safety incidents.
- Introduced cross-dock layout change that trimmed trailer dwell time by 8 minutes per load.
- Created staffing model to match inbound curves; overtime reduced 10% while meeting service levels.
- Owned daily huddles and visual boards; improved scan compliance to 99.4%.
- Mapped reconciliations process; automation saved 420 hours/quarter and cut errors by 35%.
- Co-led Lean Kaizen event; cycle time on exception handling reduced from 3.4 days to 1.9 days.
- Built control charts for daily volume; early-warning alerts reduced SLA breaches by 18%.
- Trained 15 analysts on new SOPs; onboarding time decreased by 30%.
- Modeled network redesign for regional retailer; transportation spend cut by 9% with unchanged SLA.
- Implemented vendor scorecards and quarterly business reviews for 14 suppliers.
- Built Access/SQL tooling to automate tender analysis; reduced cycle time from 10 days to 3 days.
- Conducted time-and-motion studies across 3 warehouses; findings informed $1.1M capex allocation.
Operations: Fulfilment, Inventory Control, 3PL Management, SLAs · Process: Lean, Kaizen, SOPs, Root Cause (5 Whys) · Analytics: Forecasting, Tableau, Excel Modeling, KPI Dashboards · People: Shift Leadership, Hiring, Coaching, Performance Management · Tools: WMS, TMS, SQL (basic), Looker
Lean Six Sigma Green Belt — 2020 · APICS CPIM — 2018
English (Native) · Spanish (Conversational)
Daniel Okoro
Operations Manager
Operations leader with 9 years improving fulfilment, CX, and vendor performance across e-commerce and logistics. Scaled teams from 12 to 40, drove on-time delivery from 87% to 96%, and reduced cost-per-order by 14% through process redesign and automation.
- Own end-to-end fulfilment ops for 3 DCs (480k sq ft); on-time delivery improved from 91% to 97% in 12 months.
- Led 38-person team (managers, planners, analysts); instituted weekly tiered stand-ups, cutting backlog by 22%.
- Launched carrier scorecards; underperforming lanes renegotiated, saving $2.4M annually.
- Deployed slotting optimisation with data science; pick-path distance reduced 11%, labor hours -8%.
- Managed outbound operations with 140 associates across two shifts; peak-day throughput +18% vs LY.
- Drove defect rate down 23% via root-cause (5 Whys) and standard work updates across 4 process paths.
- Piloted robotics cell balancing; reduced conveyor jams 15% and improved SLA hits by 6 ppts.
- Promoted 6 high-potential associates into leadership through a structured readiness plan.
- Launched 12 micro-fulfilment sites; average time-to-live 21 days with cross-functional launch playbook.
- Negotiated 3PL contracts worth $6.5M; achieved 9% unit-cost reduction while maintaining SLA >96%.
- Built KPI dashboard (Tableau) for GM and finance; standardized weekly ops review cadence.
- Resolved union grievance risk by redesigning scheduling; absenteeism dropped 12%.
- Supervised 55 package handlers; peak-season throughput +25% with zero safety incidents.
- Introduced cross-dock layout change that trimmed trailer dwell time by 8 minutes per load.
- Created staffing model to match inbound curves; overtime reduced 10% while meeting service levels.
- Owned daily huddles and visual boards; improved scan compliance to 99.4%.
- Mapped reconciliations process; automation saved 420 hours/quarter and cut errors by 35%.
- Co-led Lean Kaizen event; cycle time on exception handling reduced from 3.4 days to 1.9 days.
- Built control charts for daily volume; early-warning alerts reduced SLA breaches by 18%.
- Trained 15 analysts on new SOPs; onboarding time decreased by 30%.
- Modeled network redesign for regional retailer; transportation spend cut by 9% with unchanged SLA.
- Implemented vendor scorecards and quarterly business reviews for 14 suppliers.
- Built Access/SQL tooling to automate tender analysis; reduced cycle time from 10 days to 3 days.
- Conducted time-and-motion studies across 3 warehouses; findings informed $1.1M capex allocation.
Operations: Fulfilment, Inventory Control, 3PL Management, SLAs · Process: Lean, Kaizen, SOPs, Root Cause (5 Whys) · Analytics: Forecasting, Tableau, Excel Modeling, KPI Dashboards · People: Shift Leadership, Hiring, Coaching, Performance Management · Tools: WMS, TMS, SQL (basic), Looker
Lean Six Sigma Green Belt — 2020 · APICS CPIM — 2018
English (Native) · Spanish (Conversational)
Principal Product Designer with 10 years building consumer and fintech products. Led design for onboarding, payments, and growth funnels serving 12M MAU; combines systems thinking with hands-on research. Known for raising activation by 34%, reducing support tickets by 18%, and scaling design systems adopted by 7 squads.
Principal Product Designer with 10 years building consumer and fintech products. Led design for onboarding, payments, and growth funnels serving 12M MAU; combines systems thinking with hands-on research. Known for raising activation by 34%, reducing support tickets by 18%, and scaling design systems adopted by 7 squads.
Operations leader with 9 years improving fulfilment, CX, and vendor performance across e-commerce and logistics. Scaled teams from 12 to 40, drove on-time delivery from 87% to 96%, and reduced cost-per-order by 14% through process redesign and automation.
Operations leader with 9 years improving fulfilment, CX, and vendor performance across e-commerce and logistics. Scaled teams from 12 to 40, drove on-time delivery from 87% to 96%, and reduced cost-per-order by 14% through process redesign and automation.
Sarah Mitchell
Principal Product Designer
- Led end-to-end redesign of mobile onboarding used by 12M MAU, improving activation by 34% and cutting drop-off by 18%.
- Owned payments UX for Premium; launched cross-platform checkout that lifted conversion by 9.4% across 5 markets.
- Built and governed the Polaris design system; adoption across 7 squads cut design-to-dev time by 22%.
- Owned Monzo Plus subscription design from zero-to-one; 200K subscribers in first 90 days with 31% upsell rate.
- Ran 28 moderated tests and diary studies; insights reduced support tickets on open banking by 18%.
- Collaborated with compliance to deliver PSD2 flows ahead of FCA deadline; zero critical audit findings.
- Delivered UX strategy for 6 client programs (healthcare, retail, finance) with teams of 5–8 cross-functional members.
- Facilitated 30+ design sprints; produced high-fidelity prototypes that unlocked £12m in follow-on engagements.
- Piloted accessibility-first redesign for an NHS portal; task success improved from 62% to 91% in user testing.
- Designed multi-platform booking flows for a travel client; increased mobile revenue share from 38% to 54%.
- Introduced component library that cut designer-onboarding time from 4 weeks to 2 weeks.
- Co-led client workshops with C-level stakeholders; aligned roadmap to £4m efficiency targets.
- Shipped MVPs for 3 seed-stage products in health, mobility, and edtech; two raised follow-on funding (£1.2m total).
- Handled end-to-end research, IA, and UI for iOS/Android; maintained NPS >60 across pilot cohorts.
- Set up continuous discovery cadence (weekly interviews); backlog prioritisation improved cycle time by 30%.
- Advised 8 early-stage startups on onboarding and monetisation; two products achieved product-market fit within 9 months.
- Delivered design audits and sprint facilitation; average uplift of 12% in activation across clients.
- Produced lightweight design systems and handoff kits that reduced engineering rework by ~20%.
Principal Product Designer with 10 years building consumer and fintech products. Led design for onboarding, payments, and growth funnels serving 12M MAU; combines systems thinking with hands-on research. Known for raising activation by 34%, reducing support tickets by 18%, and scaling design systems adopted by 7 squads.
Design: Figma, Interaction Design, Prototyping, Design Systems · Research: User Testing, Journey Mapping, Mixed-Methods, JTBD · Systems: Accessibility (WCAG), Information Architecture, Tokens · Tools: Framer, FigJam, Adobe XD, Sketch · Collaboration: Agile Delivery, Experiment Design, OKRs
English (Native) · French (Professional) · Spanish (Conversational)
Sarah Mitchell
Principal Product Designer
- Led end-to-end redesign of mobile onboarding used by 12M MAU, improving activation by 34% and cutting drop-off by 18%.
- Owned payments UX for Premium; launched cross-platform checkout that lifted conversion by 9.4% across 5 markets.
- Built and governed the Polaris design system; adoption across 7 squads cut design-to-dev time by 22%.
- Owned Monzo Plus subscription design from zero-to-one; 200K subscribers in first 90 days with 31% upsell rate.
- Ran 28 moderated tests and diary studies; insights reduced support tickets on open banking by 18%.
- Collaborated with compliance to deliver PSD2 flows ahead of FCA deadline; zero critical audit findings.
- Delivered UX strategy for 6 client programs (healthcare, retail, finance) with teams of 5–8 cross-functional members.
- Facilitated 30+ design sprints; produced high-fidelity prototypes that unlocked £12m in follow-on engagements.
- Piloted accessibility-first redesign for an NHS portal; task success improved from 62% to 91% in user testing.
- Designed multi-platform booking flows for a travel client; increased mobile revenue share from 38% to 54%.
- Introduced component library that cut designer-onboarding time from 4 weeks to 2 weeks.
- Co-led client workshops with C-level stakeholders; aligned roadmap to £4m efficiency targets.
- Shipped MVPs for 3 seed-stage products in health, mobility, and edtech; two raised follow-on funding (£1.2m total).
- Handled end-to-end research, IA, and UI for iOS/Android; maintained NPS >60 across pilot cohorts.
- Set up continuous discovery cadence (weekly interviews); backlog prioritisation improved cycle time by 30%.
- Advised 8 early-stage startups on onboarding and monetisation; two products achieved product-market fit within 9 months.
- Delivered design audits and sprint facilitation; average uplift of 12% in activation across clients.
- Produced lightweight design systems and handoff kits that reduced engineering rework by ~20%.
Principal Product Designer with 10 years building consumer and fintech products. Led design for onboarding, payments, and growth funnels serving 12M MAU; combines systems thinking with hands-on research. Known for raising activation by 34%, reducing support tickets by 18%, and scaling design systems adopted by 7 squads.
Design: Figma, Interaction Design, Prototyping, Design Systems · Research: User Testing, Journey Mapping, Mixed-Methods, JTBD · Systems: Accessibility (WCAG), Information Architecture, Tokens · Tools: Framer, FigJam, Adobe XD, Sketch · Collaboration: Agile Delivery, Experiment Design, OKRs
English (Native) · French (Professional) · Spanish (Conversational)
Dr. Aisha Rahman
Research Scientist | Machine Learning
Research scientist focusing on trustworthy ML and healthcare applications. Published 9 peer-reviewed papers (NeurIPS, ICML, JAMA), led a 6-person lab team, and deployed risk stratification models that reduced false negatives by 18% in clinical pilots.
- Lead a 6-person research group on bias mitigation in clinical ML; authored 3 first-author papers (NeurIPS, ICML).
- Co-designed a sepsis early warning model deployed in pilot ICU; reduced false negatives by 18% vs baseline.
- Secured $420k grant (NIH R01 sub-award) by writing technical aims and evaluation protocol.
- Developed imaging model for stroke triage (AUC 0.91); integrated with PACS for clinician review.
- Published 4 peer-reviewed papers; co-led IRB process and clinical validation with 3 departments.
- Taught guest lectures for HMS BI 735 (ML in Medicine); average rating 4.8/5.
- Researched robustness in deep learning; co-authored 2 NeurIPS and 1 ICML papers.
- Implemented adversarial training pipeline; improved model robustness by 21% on CIFAR benchmarks.
- Organized weekly reading group (30+ attendees); improved cross-lab collaboration.
- Built named-entity recognition model for financial documents; F1 +9 points over baseline.
- Delivered production-ready inference service with monitoring; latency under 60ms p95.
- Documented reproducible training pipeline; reduced setup time from 2 days to 3 hours.
- Developed survival analysis for cardiac unit; findings informed staffing model, saving ~$180k annually.
- Automated monthly quality reports; turnaround time cut from 5 days to same-day.
- Delivered clinician-friendly dashboards; adoption across 3 departments within 2 months.
- Built outbreak surveillance prototype combining mobility and case data; reduced alert latency by 2 days in simulation.
- Trained 30+ public health analysts on Python and reproducible research practices.
- Produced governance guidelines for health-data sharing; adopted in two regional offices.
ML: Deep Learning, Probabilistic Modeling, Causal Inference · Data: Python, PyTorch, TensorFlow, SQL, Pandas · Research: Experiment Design, Peer Review, Grant Writing, IRB · Healthcare: DICOM, HL7/FHIR, Clinical Validation, Explainability · Leadership: Lab Mentorship, Cross-disciplinary Collaboration
AWS Certified Machine Learning – Specialty — 2023 · Good Clinical Practice (GCP) Certification — 2022
English (Native) · French (Intermediate)
Dr. Aisha Rahman
Research Scientist | Machine Learning
Research scientist focusing on trustworthy ML and healthcare applications. Published 9 peer-reviewed papers (NeurIPS, ICML, JAMA), led a 6-person lab team, and deployed risk stratification models that reduced false negatives by 18% in clinical pilots.
- Lead a 6-person research group on bias mitigation in clinical ML; authored 3 first-author papers (NeurIPS, ICML).
- Co-designed a sepsis early warning model deployed in pilot ICU; reduced false negatives by 18% vs baseline.
- Secured $420k grant (NIH R01 sub-award) by writing technical aims and evaluation protocol.
- Developed imaging model for stroke triage (AUC 0.91); integrated with PACS for clinician review.
- Published 4 peer-reviewed papers; co-led IRB process and clinical validation with 3 departments.
- Taught guest lectures for HMS BI 735 (ML in Medicine); average rating 4.8/5.
- Researched robustness in deep learning; co-authored 2 NeurIPS and 1 ICML papers.
- Implemented adversarial training pipeline; improved model robustness by 21% on CIFAR benchmarks.
- Organized weekly reading group (30+ attendees); improved cross-lab collaboration.
- Built named-entity recognition model for financial documents; F1 +9 points over baseline.
- Delivered production-ready inference service with monitoring; latency under 60ms p95.
- Documented reproducible training pipeline; reduced setup time from 2 days to 3 hours.
- Developed survival analysis for cardiac unit; findings informed staffing model, saving ~$180k annually.
- Automated monthly quality reports; turnaround time cut from 5 days to same-day.
- Delivered clinician-friendly dashboards; adoption across 3 departments within 2 months.
- Built outbreak surveillance prototype combining mobility and case data; reduced alert latency by 2 days in simulation.
- Trained 30+ public health analysts on Python and reproducible research practices.
- Produced governance guidelines for health-data sharing; adopted in two regional offices.
ML: Deep Learning, Probabilistic Modeling, Causal Inference · Data: Python, PyTorch, TensorFlow, SQL, Pandas · Research: Experiment Design, Peer Review, Grant Writing, IRB · Healthcare: DICOM, HL7/FHIR, Clinical Validation, Explainability · Leadership: Lab Mentorship, Cross-disciplinary Collaboration
AWS Certified Machine Learning – Specialty — 2023 · Good Clinical Practice (GCP) Certification — 2022
English (Native) · French (Intermediate)
Operations leader with 9 years improving fulfilment, CX, and vendor performance across e-commerce and logistics. Scaled teams from 12 to 40, drove on-time delivery from 87% to 96%, and reduced cost-per-order by 14% through process redesign and automation.
Operations leader with 9 years improving fulfilment, CX, and vendor performance across e-commerce and logistics. Scaled teams from 12 to 40, drove on-time delivery from 87% to 96%, and reduced cost-per-order by 14% through process redesign and automation.
Sarah Mitchell
Principal Product Designer
Principal Product Designer with 10 years building consumer and fintech products. Led design for onboarding, payments, and growth funnels serving 12M MAU; combines systems thinking with hands-on research. Known for raising activation by 34%, reducing support tickets by 18%, and scaling design systems adopted by 7 squads.
Sarah Mitchell
Principal Product Designer
Principal Product Designer with 10 years building consumer and fintech products. Led design for onboarding, payments, and growth funnels serving 12M MAU; combines systems thinking with hands-on research. Known for raising activation by 34%, reducing support tickets by 18%, and scaling design systems adopted by 7 squads.