• 👋 Hi, I’m @nikhilbor
• 👀 I’m interested in Cyber Security
• 🌱 I’m currently learning AI and Blockchain cyber security
• 💞️ I’m looking to collaborate on new avenues
• 📫 How to reach me ...

Hi, I'm Nikhil 👋 I work at the intersection of Cybersecurity and Machine Learning, building models for threat detection, fraud monitoring, and anomaly detection.

💼 Experience: Data Protection , Security Analyst, ML projects across fraud, DDoS, and cyber logs 🧠 Focus: UEBA-style anomaly detection, fraud model drift, threat detection on logs 🛠 Tech: Python, PyTorch, TensorFlow, scikit-learn, Splunk, Imperva DSF, Azure 🔐 ML + Security Projects Cyber Threat Detection with Deep Learning (PyTorch) Binary classifier on cyber logs (BETH dataset) using a feedforward network with weighted loss. Achieved ~0.969 F1 on a heavily imbalanced dataset.

Fraud Model Monitoring & Drift Analysis Production-style fraud model diagnostics using CBPE and drift metrics to detect performance degradation and feature drift, with clear business impact narrative.

Financial Chatbot (BCG Simulation) Data cleaning + analysis on financial datasets and a rule-based NLP chatbot (NLTK) to answer business queries from structured data.

Customer Churn Optimization (BCG DS Simulation) Fixed a useless model (5.5% recall) by focusing on class imbalance and threshold tuning, increasing recall to ~38% for at-risk customers.

Green Vancouver – Tree Species Visualization Altair-based EDA and visualization on Vancouver’s street trees, focusing on neighborhood biodiversity and geospatial patterns.

MonReader – Page Flip Detection (CNN) CNN model to detect page flips from images (92% accuracy, 93% F1), supporting an accessibility-focused document scanning workflow.

🎯 What I'm Looking For Roles where I can apply ML to Security, including:

Security Data Scientist / ML Engineer for Threat Detection Detection Engineering with ML (UEBA, anomaly, fraud, DDoS) AI Security / ML for Security Analytics 📫 Reach me: nikhilbora01@gmail.com