Neal Cheng
Verified Expert in Engineering
Machine Learning Developer
Neal has a professional track record of success over the past decade, working with various clients. For example, he's improved monthly item sales by 10% to 40% by implementing a machine learning model to predict customer demand. Neal is looking forward to helping more clients achieve their goals through the use of data science and technology.
Portfolio
Experience
Availability
Preferred Environment
MacOS, Jupyter Notebook, Docker, Scikit-learn, Keras, Python, Kubernetes
The most amazing...
...project I've worked on involved turning project visual information into geospatial coordinates and then triangulating to obtain physical object locations.
Work Experience
Data Scientist
Ericsson
- Developed an algorithm for geolocalization and size estimation of street objects.
- Prevented cybersecurity attacks using anomaly detection algorithms, including isolation forest and robust autoencoders.
- Developed object detection/localization using DenseNet and YOLO.
- Developed a proprietary algorithm for geolocalization and size estimation of street objects.
- Mentored junior data scientists.
Data Scientist
PayPal
- Predicted customer churn through machine learning.
- Led label inference and semi-supervised machine learning in order to determine customer presence.
- Improved customer conversion by predicting merchant attribute.
Research Scientist II
Eureka Therapeutics
- Designed and executed experiments to understand the effects of variables on the system.
- Generated and evaluated biophysical data based on purity, stability, binding, and specificity.
- Used artificial neural network package, NETMHC, to predict the existence of peptide drug targets.
Experience
Predicting the Outcome of Cold-calling
https://github.com/nneal1213/Data_Science_Projects/tree/master/01_Cold_CallingModeling Yelp Reviews Through NLP
https://github.com/nneal1213/Data_Science_Projects/blob/master/06_Predicting_YelpRating_from_Text/06_Predicting_YelpRating_from_Text.ipynbUse of Deep Learning to Enhance the Accuracy of Real Estate Predictions
https://github.com/nneal1213/Data_Science_Projects/tree/master/03_Price_Prediction_Deep_LearningSkills
Languages
Python, SQL, Scala
Libraries/APIs
Scikit-learn, Pandas, Keras, PyTorch, TensorFlow
Other
Machine Learning, Data Visualization, Deep Learning, Computer Vision
Paradigms
Object-oriented Programming (OOP)
Platforms
Jupyter Notebook, MacOS, Docker, Kubernetes
Storage
Apache Hive
Education
Ph.D. in Chemistry
University of California Davis - Davis, CA
Bachelor of Science Degree in Chemistry
University of California Davis - Davis, CA
Bachelor of Science Degree in Physics
University of California Davis - Davis, CA