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Staff Software Engineer at Disney Streaming Data Platform (Flink, Spark, Kafka, Iceberg, Kubernetes). ex-Roku, ex-Microsoft.
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Disney Streaming
Data Scientist
June 19, 2026 – Present
kaggle
March 2, 2018 – March 9, 2018
Build machine learning and deep learning models on Kaggle.
View Projecttime-series-forecasting-rnn-tensorflow
January 25, 2018 – January 2, 2019
Time series forecasting
View Projectbuild-elasticsearch-index
February 7, 2017 – February 7, 2017
Build an Elasticsearch index with Python APIs on AWS EC2. Search the Elasticsearch index with appropriate queries.
View Projectimage-classification-rnn
December 3, 2016 – Present
Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.
View Projectmulti-class-text-classification-cnn
October 30, 2016 – Present
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
View Projectmulti-class-text-classification-cnn-rnn
October 28, 2016 – Present
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
View Projectmachine-learning-stanford
September 1, 2016 – February 10, 2017
Stanford machine learning class on Coursera. Taught by Andrew Ng. Implemented the assignments with Matlab.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on core data science and machine learning algorithms. The current role as a Data Scientist at Disney Streaming aligns with the target role. However, the project descriptions lack details on collaboration, impact, or business context, making it difficult to fully assess cultural fit beyond technical alignment. The diversity of projects is good within the ML domain, but broader system design or data engineering projects are not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no assessment was completed or results are unavailable.