#!/usr/bin/env python3
# arijit_mondal.py — no exaggeration, no filler

class ArijitMondal:
    """
    Final-year B.Tech ECE student @ IEM Kolkata.
    Data analyst by practice. IEEE researcher by night.
    Firm believer that clean data beats clever models.
    """

    def __init__(self):
        self.name         = "Arijit Mondal"
        self.location     = "Kolkata, India 🇮🇳"
        self.degree       = "B.Tech — Electronics & Communication Engineering"
        self.institute    = "Institute of Engineering & Management, Kolkata"
        self.status       = "Final Year → Actively seeking DA / BI / Analytics roles"
        self.publications = 3  # IEEE conference papers. peer-reviewed. real ones.

    @property
    def stack(self) -> dict:
        return {
            "languages"     : ["Python", "SQL"],
            "data_libs"     : ["Pandas", "NumPy", "Scikit-learn",
                               "Matplotlib", "Seaborn", "Plotly"],
            "visualization" : ["Tableau", "Excel (Pivot Tables, Power Query)"],
            "workflow"      : ["Git", "GitHub", "Jupyter", "VS Code", "Linux (basic)"],
            "research"      : ["Silvaco TCAD"],  # semiconductor device simulation
        }

    @property
    def currently_building(self) -> list:
        return [
            "🌍  Seismic Risk Analysis     → 18,000+ USGS records, ETL + Random Forest",
            "🎭  Deepfake Evaluation Study → ~1,000 samples, adversarial robustness",
            "📊  Sales Analytics Dashboard → Tableau KPI tracking, YoY, segmentation",
            "🔬  Organic Transistor Paper  → IEMECON 2025 (Silvaco TCAD simulation)",
        ]

    def __repr__(self):
        return (
            "I list what I can defend in an interview. "
            "What you see here is what you get in the room."
        )

me = ArijitMondal()
print(repr(me))
# → "I list what I can defend in an interview. What you see here is what you get in the room."