Data Scientist with 8+ years of experience in AI & Machine Learning. I enjoy spending time on algorithms, mathematics, logic, and philosophy.

Follow me on linkedin, my blog, and github.

pythonnumpypandastensorflowkerasscikit-learnmachine-learning

Solutions that I am proud of:

• CNN model conditional layer in Keras
• Complex broadcasting in 5D tensors
• Vectorizing to avoid heavily nested python logic
• Adding auxiliary temporal features LSTM based models
• Understanding feature-split objects in Catboost
• Batchwise vectorization to optimize memory and compute time in Numpy
• Denoising autoencoders to remove noise from data

My SO journey:

• Got active on Stackoverflow in Sep, 2020, during the pandemic
• Ended 2020 under Top 0.4% in yearly reputation-league
• Got my silver in python
• Hit 10k reputation on 17th Feb, 2020
• Currently ranking at Top 0.03% in 2021

If my answers have helped you, feel free to buy me a cup of ☕️