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Jiahong Chen
Professional-Cybersecurity at AT&T
New York, NY, United States
Details
Experience:
• Lead and coordinate five data analysts in analyzing billion of daily security authentication and authorization data points
• Design over 100 Splunk dashboards and reports on cybersecurity-related metrics
• Present weekly KPI dashboard demos to leadership and hold knowledge sharing sessions on 80+ applications
• Detect anomalies and fraud in customer and employee real-time data and reduce fraud logins
2021 : Present
AT&T
Professional-Cybersecurity, Lead Data Analyst
• Conducted 10+ data analyst interviews with college candidates for full-time and internship positions
• Designed multiple advanced fraud detection algorithms to identify bots
• Analyzed billion of rows of identity access management data using Splunk, Power BI, and Palantir Foundry
• Led interns in designing user authentication models and threat analysis
2021 : 2021
AT&T
Senior Specialist - Data Analyst
• Created Java Rest APIs, debugged, processed, and maintained AT&T FirstNet and Mexico Firewall datasets
• Extracted data using No-SQL queries in MongoDB on billions of data points
• Discovered beaconing and scanning attacks in internal IP network traffic data using Python
2020 : 2021
AT&T
Specialist - Data Analyst
• Implemented unsupervised learning using DBSCAN and K-Means on millions of domain generating malware
• Conceptualized and developed a Fuzzy Cognitive Map (FCM) using the MITRE Attack Framework
• Generated map of US counties containing COVID-19 transmission rate to assist in reopening of AT&T stores in low-risk areas
2020 : 2020
AT&T
Technology Development Program - Data Analyst
• Collected and captured 5,000+ stereo, LIDAR, and thermal images for obstacle intelligence classifier training algorithm
• Designed an auto-trigger MATLAB model to collect images by synchronizing brake pressures and pedal positions data
• Trained and labeled 1,200 thermal images using YOLO and Fast R-CNN image classifier algorithms
2019 : 2019
John Deere
Machine Learning and Computer Vision Intern
• Design over 100 Splunk dashboards and reports on cybersecurity-related metrics
• Present weekly KPI dashboard demos to leadership and hold knowledge sharing sessions on 80+ applications
• Detect anomalies and fraud in customer and employee real-time data and reduce fraud logins
2021 : Present
AT&T
Professional-Cybersecurity, Lead Data Analyst
• Conducted 10+ data analyst interviews with college candidates for full-time and internship positions
• Designed multiple advanced fraud detection algorithms to identify bots
• Analyzed billion of rows of identity access management data using Splunk, Power BI, and Palantir Foundry
• Led interns in designing user authentication models and threat analysis
2021 : 2021
AT&T
Senior Specialist - Data Analyst
• Created Java Rest APIs, debugged, processed, and maintained AT&T FirstNet and Mexico Firewall datasets
• Extracted data using No-SQL queries in MongoDB on billions of data points
• Discovered beaconing and scanning attacks in internal IP network traffic data using Python
2020 : 2021
AT&T
Specialist - Data Analyst
• Implemented unsupervised learning using DBSCAN and K-Means on millions of domain generating malware
• Conceptualized and developed a Fuzzy Cognitive Map (FCM) using the MITRE Attack Framework
• Generated map of US counties containing COVID-19 transmission rate to assist in reopening of AT&T stores in low-risk areas
2020 : 2020
AT&T
Technology Development Program - Data Analyst
• Collected and captured 5,000+ stereo, LIDAR, and thermal images for obstacle intelligence classifier training algorithm
• Designed an auto-trigger MATLAB model to collect images by synchronizing brake pressures and pedal positions data
• Trained and labeled 1,200 thermal images using YOLO and Fast R-CNN image classifier algorithms
2019 : 2019
John Deere
Machine Learning and Computer Vision Intern
Company:
AT&T
About
Data science enthusiast interested in finance, cryptocurrency/blockchain, technology, and artifact intelligence.
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