Having earned a master’s degree in Economics from Stony Brook University has provided me with the foundation to analyze statistical data with precision and focus. My academic experience has taught me the skills to deal with large, complex data sets with statistical methodologies.

As an enthusiastic data scientist with hands-on experience in Python, MySQL, Tableau, Machine Learning, Deep Learning, I am comfortable with working throughout the entire data science lifecycle. During my time at Flatiron School, I often worked in a collaborative environment, utilizing paired programming, and participating in peer code reviews

I am currently working as a Junior Data Analyst at H1 and this experience provides me a good understanding of complex datasets, data management pipelines, and business decision making. My daily task was data cleansing and data mining and creating a dashboard for the final report. ​I can interpret complex datasets to non-technical people in understandable ways and think about one problem from different perspectives. One of my previous roles - as an assistant store manager offers me excellent communication skills and interpersonal skills. Being trilingual, I am comfortable working in an ethnically diverse workplace.

I am so passionate about using my knowledge and skills to make a difference.

Personal information
Full name: Hua Shi
User name: melaniesoek0120
Organization memberships
Not a member of any organization.
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No awards received yet.
Volunteer background
Education: Bachelor's on Economics | Data Science (Stony Brook University | Flatiron Shcool)
LinkedIn profile
Github profile
Portfolio
Volunteer availability
Start date: None
End date: None
Hours available per week: 10
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
Data in Relational Databases
Data in Text Files
Text Data (NLP)
Network/Graph Data
Social Science (Economics, Sociology, etc.)
Experience working on real-world problems using data
Data Visualization
Data Analysis
Causal inference
Decision Trees
SVMs
Random Forests
Neural Networks / Deep Learning
Time Series Models
Unsupervised models

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No volunteer work yet.