Shbuham M — Portfolio

Projects

Certified

Self-directed project

Machine Learning for Automotive

AI / ML · August 2026

100/ 100

A ProoV case study · educational project, not employment

A verified, self-directed industry project — completed and passed a real industry rubric at 100/100 on ProoV.

Graded against

Exploratory Data Analysis20%
Feature Engineering25%
Model Building & Evaluation35%
Business Communication20%

Passed · pass mark 60/100

The work I submitted2 tasks

1 task · 56 characters · 1 written answer · 1 word

VW Sprint1 Complete56 characters
VW Sprint1 Complete1 word

Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.

Verified certificateTamper-proof · issued by ProoV

Certified

Self-directed project

Introduction to Tokenized Real-World Assets

Product · June 2026

98/ 100

A ProoV case study · educational project, not employment

A verified, self-directed industry project — completed and passed a real industry rubric at 98/100 on ProoV.

Graded against

Product choice & reasoning40%
Grasp of the basics35%
Risk awareness25%

Passed · pass mark 55/100

What stood out6

Correctly identified tokenized US Treasury / money-market as the sensible first product and explained why in beginner-friendly terms.
Clearly distinguished the token from the underlying asset as a claim ticket held by a custodian.
Explained backing, peg, and redemption accurately using everyday analogies.
Named real risks like depeg and custody failure and matched them with practical safeguards such as audits and ring-fenced custody.
Conceptual Understanding
Comparative Analysis

Verified certificateTamper-proof · issued by ProoV

Certified

Self-directed project

Introduction to Tokenized Real-World Assets

Product · June 2026

98/ 100

A ProoV case study · educational project, not employment

A verified, self-directed industry project — completed and passed a real industry rubric at 98/100 on ProoV.

Graded against

Product choice & reasoning40%
Grasp of the basics35%
Risk awareness25%

Passed · pass mark 55/100

What stood out6

Correctly identified tokenized US Treasury / money-market as the sensible first product and explained why in beginner terms.
Clearly distinguished the token as a claim on an asset held by a custodian, not the asset itself.
Accurately explained backing/peg and redemption using accessible analogies.
Named real risks like depeg and custody failure and paired them with practical safeguards.
Conceptual Understanding
Comparative Decision Making

The work I submitted14 tasks

7 tasks · 8 lines · 7 written answers · 121 words

Coat Check94 characters
Tokenization Demo334 characters
Product Sort345 characters
Depeg Sim330 characters
Risk Match347 characters
First Recommendation293 characters
Jupyterlite Code2 lines
Coat Check1 word
Tokenization Demo28 words
Product Sort17 words
Depeg Sim29 words
Risk Match24 words
First Recommendation21 words
Jupyterlite Code1 word

Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.

Verified certificateTamper-proof · issued by ProoV