Currently working as a data scientist.
Interests on AI, data science, machine learning and related fields.
Here is my data science & machine learning portfolio 🤖
- Melanoma Classification: Getting a medal on a Kaggle competition
- Efficiently Using TPU for Image Classification
- Building complex image augmentation pipelines with Tensorflow
- Supervised Contrastive Learning for Cassava Leaf Disease Classification
- Writing TFRecord Files the Right Way
- A Gentle Introduction to Audio Classification With Tensorflow
- Using TPUs for computer vision - Kaggle Days Meetup Delhi NCR (11/07/2020) [English]
- Supervised Contrastive Learning - TensorFlow Everywhere Brasil (02/20/2020) [Portuguese-BR]
- Using computer vision for diabetic retinopathy detection - Datarisk Meetup (06/17/2021) [Portuguese-BR]
- How to build a data science portfolio | Kaggle #30daysofML 2021 (20/08/2021) [English]
- Interview with Dimitre Oliveira, contributor to Google's Dev Library | Dev Library and open source (26/08/2021) [English]
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🖼️ Computer vision
- APTOS 2019 Blindness Detection [Bronze medal - 163rd place - Top 6%] 🥉
- SIIM-ISIC Melanoma Classification [Bronze medal - 241st place - Top 8%] 🥉
- Understanding Clouds from Satellite Images [184th place - Top 12%]
- iMet Collection 2019 - FGVC6 [226th place - Top 44%]
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📄 Natural language processing
- Tweet Sentiment Extraction [Silver medal - 60th place - Top 3%] 🥈
- Jigsaw Multilingual Toxic Comment Classification [Bronze medal - 100th place - Top 7%] 🥉
- Google QUEST Q&A Labeling [171st place - Top 11%]
- Jigsaw Unintended Bias in Toxicity Classification [351st place- Top 12%]
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📈 Time-series
- Store Item Demand Forecasting [117th place - Top 26%]
- New York City Taxi Fare Prediction [409th place - Top 28%]
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🗃️ Other structured data projects
- Instant Gratification [231st place- Top 13%]
- OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction [226th place - Top 14%]
- Microsoft Malware Prediction [580th place - Top 24%]
Thanks for passing by.