class ChandanGiri:
def __init__(self):
self.name = "Chandan Giri"
self.location = "Lucknow, India 🇮🇳"
self.university = "Sitare University (with SRMU)"
self.degree = "B.Tech Computer Science (2024–2027)"
self.scholarship = "Sitare Foundation — 90% Merit Scholarship"
self.roles = ["AI/ML Engineer", "Full-Stack Developer", "Quant Researcher"]
self.hackathon = "Smart India Hackathon 2025 — National Finalist 🏆"
def current_focus(self):
return [
"Building intelligent AI pipelines & workflow automation",
"Quantitative finance modeling & credit risk systems",
"Fraud detection using ensemble ML + computer vision",
"Open-source contributions across 5 organizations"
]
CNNs • NLP • Random Forest • SVM • Logistic Regression • Time-Series Forecasting • Supervised & Unsupervised Learning • StatsModels
| 🥇 Achievement | Year |
|---|---|
| 🏆 Smart India Hackathon 2025 — National Finalist (Team Leader, ML Lead) | 2025 |
| 🎓 Sitare Foundation Scholarship — 90% B.Tech CS Tuition Covered | 2024–Present |
| 🧮 Top Neurons Scholarship — Nationally competitive, top performers across India | 2021–2023 |
