Hi, I'm Yashit Arora 👋

🎯 AI/ML Engineer | ML Intern @ NES Technologies | Anomaly Detection & Predictive Analytics

---

🧑‍💻 About Me

class YashitArora:
    def __init__(self):
        self.name = "Yashit Arora"
        self.role = "AI/ML Engineer & CS Student"
        self.university = "Thapar Institute of Engineering & Technology"
        self.degree = "B.Tech in Computer Science (2024-2028)"
        self.location = "New Delhi / Patiala, India"
        
    def current_focus(self):
        return [
            "🤖 Theft Anomaly Detection at NES Technologies",
            "📊 Predictive Analytics with Real Datasets",
            "🧠 Building ML Models for Business Problems",
            "☀️ Learning Deep Learning & MLOps"
        ]
    
    def ask_me_about(self):
        return [
            "Python, Scikit-learn, Time-Series Analysis",
            "Anomaly Detection & Predictive Analytics",
            "Machine Learning Model Development",
            "Data Preprocessing & Feature Engineering"
        ]

---

💼 Experience

🚀 Machine Learning Intern @ NES Technologies

Jun 2025 - Present

• Developing theft anomaly detection models using real datasets
• Building predictive analytics solutions for business problems
• Implementing ML pipelines for data analysis and model deployment

---

📜 Certifications

Certification	Issuer	Status
Data Analytics Job Simulation	Deloitte Australia (Forage)	✅ Completed
Technology Job Simulation	Deloitte Australia (Forage)	✅ Completed
GenAI Powered Data Analytics	Tata (Forage)	✅ Completed
What Is Generative AI?	LinkedIn Learning	✅ Completed
Python (Basic)	HackerRank	🔲 In Progress
SQL (Basic)	HackerRank	🔲 In Progress
Intro to Machine Learning	Kaggle	🔲 In Progress

---

🛠️ Tech Stack & Tools

---

📌 Featured Projects

🛩️ Aircraft Engine RUL Prediction Predictive maintenance system using NASA CMAPSS dataset. Achieves 92% accuracy in predicting remaining useful life of aircraft engines. Key Features: ✅ Lag feature engineering from 21 sensor parameters ✅ Rolling statistics & degradation trends ✅ Regression & classification model comparison ✅ Hyperparameter optimization (15% error reduction)	🏢 Smart Building Energy Prediction IoT-based energy consumption analysis using clustering and dimensionality reduction. Optimizes building energy efficiency by 20%. Key Features: ✅ K-Means clustering for pattern discovery ✅ PCA for dimensionality reduction ✅ Interactive energy dashboards
📜 Certificate Management System Secure platform for storing and verifying student certificates with complete CRUD operations. Key Features: ✅ Relational database schema design ✅ SQL queries & PL/SQL procedures ✅ 500+ student records management	🤖 JARVIS AI Assistant Personal AI assistant with wake word detection, voice commands, and Iron Man HUD interface. Key Features: ✅ Wake word detection ("Hey JARVIS") ✅ Voice command processing ✅ Natural language understanding

---

📊 GitHub Analytics

---

🎯 Currently Learning

• 🔹 Advanced ML Algorithms & Model Optimization
• 🔹 Deep Learning with TensorFlow/PyTorch
• 🔹 MLOps & Model Deployment
• 🔹 Time-Series Forecasting Techniques
• 🔹 Anomaly Detection Methods (Isolation Forest, Autoencoders)

---

🏆 Achievements & Recognition

Category	Achievement
💼 Professional	ML Intern @ NES Technologies (Anomaly Detection)
🎓 Academic	B.Tech CSE @ Thapar University
📜 Certifications	Deloitte Analytics x2, Tata GenAI, LinkedIn Learning
🎯 Leadership	Management Head — Backslash Computing Society

---

📫 Let's Connect!

---

💡 "Turning data into decisions, one model at a time."