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Hi, I'm Akmal 👋 I'm a Data Science undergraduate at Telkom University focused on Applied Machine Learning & AI. I love taking a messy real-world problem, turning it into an ML task, trying different approaches, and not stopping until the thing actually works. Main interests:
On the side, I'm also into quantitative research & financial markets, exploring how ML and statistics can make sense of noisy, uncertain systems. |
class Akmal:
name = "Akmal Yaasir Fauzaan"
role = "Data Science Student"
school = "Telkom University"
base = "Bandung, Indonesia 🇮🇩"
focus = ["Computer Vision",
"NLP & Transformers",
"Time Series"]
side_quest = "Quant Research"
def motto(self):
return "Build. Measure. Break. Learn." |
| Area | What I'm doing | |
|---|---|---|
| 🤖 | Applied ML | Model development · Experimentation · Evaluation |
| 👁️ | Computer Vision | Classification · Object Detection · Representation Learning |
| 🧠 | NLP / AI | Transformers · LLMs · Text Modeling |
| 📊 | Data | Feature Engineering · Time Series · Analysis |
| ⚙️ | Engineering | APIs · Databases · ML Pipelines |
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flowchart LR
A([🌍 Real-world<br/>Problem]) --> B[(📦 Data)]
B --> C[🔍 Explore Data]
B --> D[🎯 Define Task]
C --> E[⚗️ Build &<br/>Experiment]
D --> E
E --> F{📏 Evaluate}
F -->|✅ Works| G[🚀 Improve &<br/>Deploy]
F -->|❌ Fails| H[💡 Learn]
G --> E
H --> E
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classDef bad fill:#3d1a0f,stroke:#ff6b35,color:#fff
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class G good
class H bad
class E,F main
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My strongest ML area
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A research interest outside my main focus
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flowchart LR
I([💭 Idea]) --> H[🧪 Hypothesis]
H --> X[⚗️ Experiment]
X --> R{📊 Result}
R -->|Works| B[🏗️ Build]
R -->|Fails| L[📚 Learn]
B --> I
L --> I
