Proactive Network Security Analyst adept at predicting and disrupting intrusion attempts. Pioneers novel network security measures to combat emerging threats. Maintains proven track record of utilizing both education and technological solutions to fortify companies against malicious exploitation and data breaches.
Python
Java
SQL
Data Structures
Tableau/PowerBI
ML/Deep learning
Firewall Installation
Incident Response
Incident Logging Oversight
Virtual private networks
SIEM Provider Management
Threat Intelligence
Network Security Management
CUSTOMER SEGMENTATION USING MACHINE LEARNING (02/2022 - 05/2022)
Comparing the efficacy of four machine learning algorithms, namely, KMeans, DBSCAN, Agglomerative Clustering, and PCA with KMeans, in performing customer segmentation.
Dividing customers into an optimal number of customer segments based on demographics, allows us to investigate new ways to increase marketing persona.
CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING (09/2021 - 11/2021)
Designed the Model which predicts fraud trancations using Jupyter Notebook and python libraries using NumPy, Pandas, Scikit-learn, Imblearn,Matplotlib.