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Cyber Security Analyst

DATAIQ - Data Science Consultancy

Senior Data Scientist

University of Geneva

Senior Behavioral Data Scientist

LOG(N) Pacific

- Programmed and fine-tuned deep learning and machine learning algorithms (e.g., Pytorch, XGBoost, Random Forest, etc.) to detect and classify common network attack types (e.g., FTP-BruteForce, DOS-GoldenEye, BruteForce-XSS, SQL-Injection, Infiltration, BotAttack, etc.) on a large-scale dataset (6 million entries). Final models achieved over 99.99% accuracy with low false positive and false positive rates. 

- Implemented secure cloud configurations using Azure Private Link, Network Security Groups, Microsoft Defender for Cloud, and Azure Regulatory Compliance for NIST 800-53, PCI-DSS, and HIPPA/HITRUST, resulting in a 58% reduction in security incidents over the same time interval. 

- Troubleshooted and supported Microsoft Azure services, including, Microsoft Sentinel (SIEM), Virtual Machines, Azure Monitor, and Microsoft Entra ID (Active Directory), resolving 40 issues per week on average. 

- Develop KQL queries to support Log Analytics workspace and Microsoft Sentinel, resulting in 26 new SIEM dashboards and workbooks. 

- Performed and analyzed unauthenticated and credentialed vulnerability scans using OpenVAS and Tenable Nessus. 

- Remediated over 99.99% of identified vulnerabilities and verified successful remediation through subsequent scans. 

- Active Directory (Azure Entra) Management 

- IAM Azure management (Joiners, Leavers)

Cyber Security Support Analyst

Université de Genève

- Conducted systematic literature review of over 16.000 scientific articles and conducted a quantitative meta-analysis to calculate average effect size (Hedges' g) of experimental communication interventions on behaviour.

- Led a full-stack data science project using XGBoost in Python to investigate the most important features in predicting fossil fuel taxation preferences.

Behavioral Data Scientist

Fossil Fuel Non-Proliferation Treaty

- Programmed and deployed an interactive online app, the Fossil-Fuel Policy Tracker. The app uses
shiny, web-scraping, and an NLP pipeline to automatically identify, filter, and visualize relevant policies globally (https://fossilfueltracker.org). 

- Programmed an artificial neural network for policy text classification. A video describing the NLP pipeline (conference at the University of Oxford) can be found in the description below.

- Optimized media spending of the Fossil Fuel Non-Proliferation Treaty Initiative using machine learning. 

- Optimized social media campaign content through A/B testing.

- Enhanced tailored communication efforts by performing client segmentation analysis.

University of Cambridge

- Experimental research on the social and political psychological effects of climate change and migration with a focus on practical and real-world applicable, high-impact research.  

- Developed interactive online course materials for 1st offering of course on 'Introduction to Data Science for Social and Behavioral Scientists': https://fuenal.github.io/dataism/

- Research using machine learning for classification and prediction models (Random Forests) using nationally representative samples on micro and macro-level features of climate change policy preferences: https://fuenal.github.io/dataism/ClimateChangeAI.html

https://www.sdmlab.psychol.cam.ac.uk/staff/dr-fatih-uenal

Postdoctoral Research Associate

Data Scientist

Faculty

Highly competitive intensive course and internship in Data Science: Europe's leading route to hiring elite technical data science talent. Course covered supervised, unsupervised, reinforcement learning, SQL, Dask/PySpark, Linear Algorithms, Bayesian Statistical methods, Decision trees (bagging and boosting) among many others, along with client and project management.

Data Science Fellow

DeZIM-Institut

Scientific research and political consultancy on issues of ethnic, racial, and gender discrimination in health, job market, and housing sectors. In collaboration with the Federal Ministry for Family Affairs, Senior Citizens, Women, and Youth (BMFSFJ), the Federal Anti-Discrimination Agency (ADS), and MSOs and NGOs, I worked on developing a nationally representative discrimination monitoring system.

Postdoctoral Research Scholar

Harvard University

Research project on the psychology of climate change, migration, and automation at the Department of Psychology, Harvard University.

Postdoctoral Researcher

Cybersecurity enthusiast. Problem solver. Team player. Lover of strong passwords and trusted advisor for strong networks. If cybersecurity is something that you care for, let's get together and make it effective and simple.

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