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About Candidate
As a Global Data & Insights Principal at HP, I leverage my economics, actuarial science, and data science background to create and deliver innovative solutions for business and operations. I have over 10 years of experience in various industries, such as retail, tech, fintech, health tech, and R&D, where I have applied my skills in machine learning, deep learning, big data, econometrics, business intelligence, and marketing analytics.
I am passionate about solving complex problems and generating insights that drive value and growth for HP and its customers. I design and deploy end-to-end machine learning models, create and automate cybersecurity processes, design and visualize metrics and dashboards, and lead business features for tech audiences. I also collaborate with international funds, executive finance, marketing, investor relations, and other stakeholders to support HP’s digital transformation and strategic goals.
Education
Experiences
Main attributions: - Create ML System-Designs - Create, define, and deliver product and operations-correlated metrics to the business team - Design and automate the process of cybersecurity to HP identities - Deliver improvements in pipelines, coverage tests, unit tests, integration tests, etc.
Skills
Data Science
Python
SQL
Tensorflow
Keras
pyTorch
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