Data scientist
I love Data Science, and I'm eager to apply machine/deep learning to solve business problems.
I love Data Science, and I'm eager to apply machine/deep learning to solve business problems.
I'm actively participating in Kaggle competitions and learning new skills. I currently have one solo silver and two team silvers.
I'm exposed to many bioinformatics software and tools. I have a broad experience in NGS analysis and data visualization.
I have five years experience managing corn populations in both field and greenhouse. I also have extensive molecular biology skills.
Deep learning model to forecast bushfire damage risk on Flinders Chase National Park using satellite imagery and weather data
Three week project at Insight Data Science
[Time-series, Computer Vision, Keras, Satellite Imagery, BigQuery]
An open-source software that helps visualize NGS sequencing data with ease.
Live demo is down for maintenance.
Beginner-friendly Bioinformatics Data Visualization Tool
[Data Visualization, Plotly, Dash, React, Docker]
My PhD research on an epigentic modifier in maize. I'm a co-first author on a published paper and my contribution includes molecular cloning, generation of transgenic plants, real-time PCR and RNA-seq analysis. PhD Research [Thesis Research, Plant breeding, Molecular Cloning, RNA-seq]
Reproducible RNA-seq differential expression analysis pipeline Beginner-friendly RNA-seq tutorial [RNA-seq, R Markdown, PCA, DESeq, DESeq2, edgeR, limma]
Traffic Accident in the US from March 2015 - March 2019 Shiny interactive map [Data Visualization, R Shiny, shinydashboard, Leaflet]
Build classfication models to predict toxic comments while minimizing bias. Top 1%, Team Silver [Kaggle, NLP, PyTorch, Bert, GPT-2, Bi-LSTM]
Build models on unbalanced data to predict customer loyalty score. Top 3%, Solo Silver [Kaggle, Feature Engineering, Hyperparameter Tuning, lightgbm]
Build models on eye images to predict diabetic retinopathy. Top 4%, Team Silver [Kaggle, Image Classfication, EfficientNet, Image Augmentation]