class Romit_Chatterjee:

def __init__(self):

    self.name = "Romit Chatterjee"
    self.role = "AI/ML Research Intern"
    self.university = "KIIT University (CGPA: 9.09/10)"
    self.location = "Bhubaneswar, India"
    
    self.current_research = {
        "org": "UiT-The Arctic University of Norway",
        "focus": "Bias Detection & Mitigation in ML/DL Models",
        "domain": "Tabular Data Analysis"
    }
    
    self.previous_work = {
        "org": "University of South Florida",
        "achievement": "Bridged Continual Learning + Machine Unlearning",
        "results": "0.2-0.4% accuracy on unlearned samples, 70-95% retention"
    }

def recent_projects():

projects = {
    "lung_cancer_detection": {
        "model": "CNN-GCN Hybrid",
        "accuracy": "~98%",
        "dataset": "15K histopathological images"
    },
    "sentiment_analysis": {
        "model": "LSTM",
        "task": "Twitter emotion classification"
    }
}

def tech_stack():

skills = {
    "languages": ["Python", "R", "SQL"],
    "ml_frameworks": ["PyTorch", "TensorFlow", "Scikit-Learn"],
    "data_tools": ["Pandas", "NumPy", "Matplotlib", "Seaborn"],
    "databases": ["MySQL", "MongoDB"],
    "viz_tools": ["Tableau", "PowerBI"]
}

def leadership():

positions = [
    "AI/ML Lead @ AISOC, KIIT",
    "Technical Executive @ Microsoft Learn Student Ambassador"
]

def connect():

contact = {
    "email": "2205840@kiit.ac.in | chatterjeeromit86@gmail.com",
    "linkedin": "linkedin.com/romit23"
}

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🛠️ Tech Stack

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