Zoë Mi Zhou
Data Engineer @ William Blair
About
- Master's in Analytics at University of Chicago -7 years experience in python, SQL and R - Highly proficient in data processing and analyzing - Excellent verbal and writing skills - Passionate about Deep Learning (Image recognition, NLP, RNN) Skills: - Database: SQL (MySQL, PostgreSQL, Oracle, MS SQL Server), Hive, NoSQL (MongoDB) - Programming: Python (Pandas, NumPy, Matplotlib, Sklearn, Keras, Tensorflow), R (dplyr, ggplot) - Tools:R studio, PyCharm, Jupyter, Tableau, slurm, AWS, GCP, Hadoop, Git, Excel (lookup, pivot table) - Machine Learning: supervised learning (regression, classification); unsupervised learning (clustering, neural networks) - Time Series: sARIMA, VAR, Rolling / Expanding window Cross-Validation
United States
Greater Chicago Area
Higher Education
Microsoft Excel, R, Python, Problem Solving, Negotiation, SQL, Tableau, Data Analysis, Statistical Modeling, Predictive Modeling, Logistic Regression, Time Series Analysis, Linux, Artificial Intelligence (AI), Natural Language Processing (NLP), Github, TensorFlow, Python (Programming Language), Big Data, Hadoop
Experience
Data Engineer
William Blair
Greater Chicago Area
Data Scientist Capstone Partner
Scholle IPN
Greater Chicago Area
• Delivered a comprehensive executive report demonstrating how an integrated, machine learning solution using the client’s data can produce more accurate sales forecasts compared to a heuristics-based approach. • Improved product sale forecasts in the North American market by 38% using a stacked ensemble model. • Constructed a reproducible data-processing, modelling and monitoring framework for future usage
Math Tutor
Franklin & Marshall College
Lancaster
Assisted students with Calculus I,II,III on content such as Integration by Parts, Derivatives, Taylor Series and Chain Rule.
Education
University of Chicago
Analytics
Franklin & Marshall College
Mathematics
Zoë Mi Zhou's Contact Information
Phone
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