Tahiyya Firdouse
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Skills

Skills on the record

Grouped by category — level, evidence count, and strength mix only from what's in your graph.

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[ 13 ]
Proven capabilities
From your skill graph

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[ 13 ]
Unverified claims
Still open on the graph

Skill clusters

How domains connect in your graph.

Verified coreEdge dependency

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What they can prove

Proven Unproven

INTERVIEW-VERIFIED CAPABILITY (PROVEN)SELF-DECLARED STACK
GRAPH NODES: 26 · CONNECTIVITY FACTOR: 0.50
Skill constellation: 26 skills, 0 interview-verified.CCLOUD COMPUTINGCOMPUTER NETWORKSCSSDATA STRUCTURES & ALGORITHMSDATABASE MANAGEMENT SYSTEMSFIREBASE (AUTHENTICATION & FIRESTORE)GITGITHUBHTMLJAVAJAVASCRIPTMONGODBMYSQLOBJECT-ORIENTED PROGRAMMINGOPERATING SYSTEMSREACTRECHARTSREINFORCEMENT LEARNING (PPO/DQN)SEQUENCE PREDICTIONSIMULATION & MODELINGSQLTENSORFLOW.JSTYPESCRIPTVITEPYTHON
  • C: self-declared, 0 evidence items
  • Cloud Computing: self-declared, 0 evidence items
  • Computer Networks: self-declared, 0 evidence items
  • CSS: self-declared, 1 evidence items, linked to Project: UniRide (University Carpool Platform)
  • Data Structures & Algorithms: self-declared, 0 evidence items
  • Database Management Systems: self-declared, 0 evidence items
  • Firebase (Authentication & Firestore): self-declared, 0 evidence items
  • Git: self-declared, 1 evidence items, linked to Project: UniRide (University Carpool Platform)
  • GitHub: self-declared, 0 evidence items
  • HTML: self-declared, 1 evidence items, linked to Project: UniRide (University Carpool Platform)
  • Java: self-declared, 0 evidence items
  • JavaScript: self-declared, 1 evidence items, linked to Project: UniRide (University Carpool Platform)
  • MongoDB: self-declared, 0 evidence items
  • MySQL: self-declared, 1 evidence items, linked to Project: UniRide (University Carpool Platform)
  • Object-Oriented Programming: self-declared, 0 evidence items
  • Operating Systems: self-declared, 0 evidence items
  • Python: self-declared, 3 evidence items, linked to Project: TriNETRA (AI-Powered Adaptive RF Intelligence) — Smart India Hackathon, Project: Vyomflow (Cognitive Risk Screening Platform), Project: UniRide (University Carpool Platform)
  • React: self-declared, 1 evidence items, linked to Project: Vyomflow (Cognitive Risk Screening Platform)
  • Recharts: self-declared, 1 evidence items, linked to Project: Vyomflow (Cognitive Risk Screening Platform)
  • Reinforcement Learning (PPO/DQN): self-declared, 1 evidence items, linked to Project: TriNETRA (AI-Powered Adaptive RF Intelligence) — Smart India Hackathon
  • Sequence Prediction: self-declared, 1 evidence items, linked to Project: TriNETRA (AI-Powered Adaptive RF Intelligence) — Smart India Hackathon
  • Simulation & Modeling: self-declared, 0 evidence items
  • SQL: self-declared, 0 evidence items
  • TensorFlow.js: self-declared, 1 evidence items, linked to Project: Vyomflow (Cognitive Risk Screening Platform)
  • TypeScript: self-declared, 1 evidence items, linked to Project: Vyomflow (Cognitive Risk Screening Platform)
  • Vite: self-declared, 1 evidence items, linked to Project: Vyomflow (Cognitive Risk Screening Platform)

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Capability chambers

Deep dives by domain.

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DOMAIN 01 // LANGUAGE

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CSS

DOMAIN 02 // TOOL

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Git

DOMAIN 03 // LANGUAGE

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HTML

DOMAIN 04 // LANGUAGE

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JavaScript

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