class DataScientist:
def __init__(self):
self.name = "Panha Sovan"
self.pronouns = ["He", "Him"]
self.education = "Data Science Student @ CADT"
self.location = "Cambodia 🇰🇭"
self.current_focus = [
"Machine Learning & Deep Learning",
"Data Engineering & ETL Pipelines",
"Statistical Analysis & Modeling",
"Big Data Technologies",
"Real-Time Data Processing"
]
self.tools = ["Python", "R", "SQL", "Hadoop", "Spark"]
self.fun_fact = "I train models, not just fit() them!"
def ask_me_about(self):
return [
"Machine Learning Algorithms",
"Data Visualization",
"Statistical Analysis",
"Big Data Processing",
"Predictive Modeling"
]
def life_philosophy(self):
return "In Data We Trust!"
# Initialize
me = DataScientist()
mindmap
root((Panha Sovan Data Scientist))
Machine Learning
Supervised Learning
Unsupervised Learning
Deep Learning
Neural Networks
Model Optimization
Data Engineering
ETL Pipelines
Apache Hadoop
Apache Spark
Real-Time Processing
Data Warehousing
Statistical Analysis
Hypothesis Testing
A/B Testing
Regression Analysis
Time Series
Predictive Modeling
Data Visualization
Tableau
Power BI
Python Libraries
Dashboard Design
Storytelling
Big Data
Distributed Computing
Apache Kafka
Data Lakes
Stream Processing
MLOps
Model Deployment
MLflow
Docker
CI/CD Pipelines
Model Monitoring
