Maggie Han
Data Scientist at
 Fortinet
Role
Data Scientist
Industry
Education
Information Technology
Manufacturing
Retail
SKILLs
Churn Modeling
Data Lake (Hadoop, Hive)
Deep Learning (CV, NLP)
Distributed Frameworks (Mapreduce, Spark)
Machine Learning (MLOps)
Python
Recommender Systems
SQL
Streaming Data Processing
Tableau
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Bio

Maggie Han is a Senior Data Scientist with a PhD in Chemical Engineering. After two years as a Research Scientist, she discovered her passion for data modeling and analytics and successfully transitioned to a leading tech company in the cybersecurity sector. Maggie has demonstrated expertise in classification, clustering, feature engineering, and workflow optimization in big data. Her accomplishments include building comprehensive data pipelines from raw logs to daily submissions and effectively managing highly imbalanced data sets to accurately identify minor classes. Passionate about mentoring, Maggie is deeply committed to sharing her career transition insights and helping others achieve their professional goals.

Services
Testing & Certification

Practice live coding with laser focus, keep warm on visualization and storytelling

Resume Building

Recommend bullets based on role and industry for 4 blocks (summary + skills + projects + experience)

Portfolio Building

A collection of 3-6 projects, each has 5 blocks (overview + objective + KPIs + data model + dashboard)

Job Searching & Analysis

Find the right number of quality jobs matching your search, and save them into the job tracker

Interview Scripting

Predict the right questions and design the conversation with compelling stories

Interview Practicing

Get used to the pressure through intensive mock interviews, provide actionable feedback, help mentees reach peak performance

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