Yusuf Rahman

Senior Data Scientist

Department of Economic Development

0out of 100

Overall pre-score

Excellent

Eligibility screening

Seven hard rules — all must pass.

Eligible

7 of 7 checks passed

R1The nominee should hold a full-time employment contract; part-time or temporary contract holders are not eligible.
Holds a full-time contract.
Meets requirement
R2The nominee should not be seconded or assigned at the time of participation, and participation must fall within the scope of the employee's original position, whose duties they actually and continuously perform.
Not seconded or assigned; performs the original position.
Meets requirement
R3The nominee's official job title should correspond to the duties and responsibilities actually performed.
Official job title corresponds to actual duties.
Meets requirement
R4The nominee should have secured a rating of not less than 'very good' in the annual performance evaluation during the last two years of employment.
Last two annual ratings: excellent, very good.
Meets requirement
R5The nominee should have completed not less than two years of service with the authority.
6 year(s) of service with the authority.
Meets requirement
R6The nominee's employment file should be free from any disciplinary or penal sanctions during the past two years.
No disciplinary or penal sanctions in the past two years.
Meets requirement
R7The same employee may not be nominated for two consecutive cycles.
Not nominated in the previous cycle.
Meets requirement

Attachments

Innovation Portfolio.pdf
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Model Evaluation.pdf
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Criterion detail

Criteria are weighted equally by default.

5 sub-criteria

1.1
Personal effort and exceptional achievements
Excellent86
Justification
Evidence maps to the “Excellent” band. The employee exerted exceptional efforts far beyond the scope of the assigned duties, achieving qualitative and inspiring accomplishments that had a tangible im…
Official rubric · Excellent
The employee exerted exceptional efforts far beyond the scope of the assigned duties, achieving qualitative and inspiring accomplishments that had a tangible impact on the authority or at a governmental or national level, with a clear commitment to excellence and innovation.
Evidence
Built a data pipeline and predictive licensing model that reduced application backlog by 61% and improved decision accuracy, setting a strategic data roadmap for the department.
Narrative
Prototyped an internal AI assistant adopted by 300+ staff, filed two registered patents, and published an open-source toolkit reused by three authorities.
Narrative
1.2
Contribution to the strategic plan and alignment of achievements with individual and organizational objectives
Excellent81
Justification
Evidence maps to the “Excellent” band. The employee effectively contributed to achieving the authority's strategic objectives through accomplishments directly and clearly linked to the individual and…
Official rubric · Excellent
The employee effectively contributed to achieving the authority's strategic objectives through accomplishments directly and clearly linked to the individual and organizational goals, delivering impactful results that significantly support corporate performance indicators.
Evidence
Built a data pipeline and predictive licensing model that reduced application backlog by 61% and improved decision accuracy, setting a strategic data roadmap for the department.
Narrative
Prototyped an internal AI assistant adopted by 300+ staff, filed two registered patents, and published an open-source toolkit reused by three authorities.
Narrative
1.3
Speed and accuracy of performance and utilization of time and resources
Excellent76
Justification
Evidence maps to the “Excellent” band. All of the employee's achievements were characterized by speed, accuracy, goal achievement, and optimal use of time and resources, including technology and arti…
Official rubric · Excellent
All of the employee's achievements were characterized by speed, accuracy, goal achievement, and optimal use of time and resources, including technology and artificial intelligence, and he became a role model on the local, regional, and global levels.
Evidence
Built a data pipeline and predictive licensing model that reduced application backlog by 61% and improved decision accuracy, setting a strategic data roadmap for the department.
Narrative
Prototyped an internal AI assistant adopted by 300+ staff, filed two registered patents, and published an open-source toolkit reused by three authorities.
Narrative
1.4
Efficiency in dealing with professional challenges
Excellent81
Justification
Evidence maps to the “Excellent” band. The employee demonstrated high efficiency in dealing with large and complex job challenges, and used innovative and flexible solutions that enabled him to turn …
Official rubric · Excellent
The employee demonstrated high efficiency in dealing with large and complex job challenges, and used innovative and flexible solutions that enabled him to turn those challenges into achievements that exceeded expectations and supported corporate goals.
Evidence
Built a data pipeline and predictive licensing model that reduced application backlog by 61% and improved decision accuracy, setting a strategic data roadmap for the department.
Narrative
Prototyped an internal AI assistant adopted by 300+ staff, filed two registered patents, and published an open-source toolkit reused by three authorities.
Narrative
1.5
Risk and corporate change management
Excellent86
Justification
Evidence maps to the “Excellent” band. The employee successfully led the management of all potential risks and oversaw numerous changes, modernization, and continuous improvement processes using the …
Official rubric · Excellent
The employee successfully led the management of all potential risks and oversaw numerous changes, modernization, and continuous improvement processes using the latest innovative and advanced methods.
Evidence
Built a data pipeline and predictive licensing model that reduced application backlog by 61% and improved decision accuracy, setting a strategic data roadmap for the department.
Narrative
Prototyped an internal AI assistant adopted by 300+ staff, filed two registered patents, and published an open-source toolkit reused by three authorities.
Narrative

Criterion profile

Score across all applicable criteria.

1Performance & Achievement82
2Continuous Learning82
3Positive & Influential Personality81
4Initiative & Entrepreneurial Awareness86
5Creativity & Innovation82

Nomination dossier

# Nomination Dossier — Yusuf Rahman

Authority: Department of Economic Development · Category: Innovative Employee · Pre-score: 83% (Excellent)

Summary

Yusuf Rahman, Senior Data Scientist at Department of Economic Development, is nominated in the Innovative Employee category. Across 5 applicable criteria the nominee reaches an overall pre-score of 83% (Excellent).

Highlights by criterion

Criterion 1 — Performance and Achievement (82%): strongest in 1.1 Personal effort and exceptional achievements (Excellent).
Criterion 2 — Continuous Learning (82%): strongest in 2.3 Transfer of acquired knowledge and skills to others, whether inside or outside the authority (Excellent).
Criterion 3 — Positive and Influential Personality (81%): strongest in 3.3 Promoting a culture of learning through experiences and applying knowledge gained to new situations (Excellent).
Criterion 4 — Initiative and Entrepreneurial Awareness (86%): strongest in 4.3 Using data and information for analysis, problem-solving, and making informed decisions that support the authority's future vision (Excellent).
Criterion 5 — Creativity and Innovation (82%): strongest in 5.1 Initiating the development of procedures, improving processes, and providing innovative solutions to operational obstacles (Excellent).

Recommendation

Strong candidate — recommend advancing to the evaluation panel.

_Draft for the jury — decision-support only. The jury makes the final decision._

Jury decision

Record the committee's decision. This is logged to the audit trail.

Prepared on: July 4, 2026