Nada HammadNH
Open to opportunities

Nada Hammad

@nadahammad

Senior Data Scientist with expertise in blockchain analytics and machine learning.

Egypt

What I'm looking for

I seek a dynamic role in data science where I can innovate and lead impactful projects.

I am a Senior Data Scientist with extensive experience in developing innovative solutions for blockchain data analysis. At TRM Labs, I have successfully led the development of multiple products, including a risk scoring model for dark-web posts and a cross-chain tracing tool that has recovered millions in stolen funds. My work has significantly increased the number of attributed blockchain addresses and enhanced the capabilities of our data science team.

My academic background includes a B.Sc. in Computer Science & Engineering from the German University in Cairo, where I graduated with highest honors. I have also contributed to the field through research, co-authoring a paper on traceability heuristics for the privacy chain Monero, which was published at the IEEE ICBC. I am passionate about leveraging machine learning and data analytics to drive impactful results in the blockchain space.

Experience

Work history, roles, and key accomplishments

TL
Current

Senior Data Scientist

TRM Labs

Jun 2023 - Jan 2025 (1 year 7 months)

Led the development of machine learning models and algorithms for blockchain data analysis, significantly increasing the number of attributed blockchain addresses. Managed product development cycles and collaborated with cross-functional teams to launch new products. Authored research on blockchain traceability and contributed to team growth.

Education

Degrees, certifications, and relevant coursework

GC

German University in Cairo

Bachelor of Science, Computer Science & Engineering

2015 - 2019

Grade: 0.81, highest honors

Completed a Bachelor of Science in Computer Science & Engineering with a GPA of 0.81, achieving highest honors. Ranked in the top 5 students during the 6th semester. Engaged in elective courses such as Machine Learning Algorithms, Data Analytics, and Applied Data Science.

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