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Samsung SmartThings
Data Scientist
June 25, 2026 – Present
SuggestionMining
November 23, 2020 – December 17, 2020
SuggestionMining — GitHub repository
View ProjectfileStreamSimulation
January 21, 2020 – November 2, 2020
Simple Trajectory Data parser for Apache Spark File Streaming
View ProjectPKU_Autonomous-Driving
December 1, 2019 – April 30, 2020
Kernels Directory for PKU Autonomous Driving, Make sure to have models (including imageaiweights), detections and dataset dir as there in paths.py
View ProjectSqueezeNetWinML
March 22, 2019 – March 22, 2019
Image Classifier Squeeze Net over Windows ML API
View ProjectSequence-Prediction
March 6, 2019 – March 7, 2019
Few of my Experiments and Data Wranglings in Sequence Prediction
View ProjectData-Science
February 26, 2019 – February 28, 2019
My Curated Learning Points and Wranglings for Data Science
View ProjectthrottlePositionController
February 5, 2019 – February 5, 2019
Basic Throttle Position controller in Arduino. A basic Fail-safe using incremental warnings is included.
View ProjectSimple-CNN-LSTM
December 23, 2018 – December 23, 2018
A simple boilerplate template for Keras (Tensor Flow Backend) for raw sequence of random numbers (sequence optionally preserved by a seed). All Graphics stuff including progress bars for training and different plots for data, target and prediction are included.
View ProjectCultural Fit Analysis
The candidate's personal projects show a broad range of interests beyond core data science, including embedded systems (throttlePositionController), web development (BitPay-PHP-Client), and low-level programming (MatterTLVParser, SqueezeNetWinML). While this demonstrates versatility, it could indicate a lack of focused depth in data science if not balanced with significant professional experience. The current role as a Data Scientist at Samsung SmartThings aligns well with the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.