Data Scientist with 11 years of experience in AI & Machine Learning. Current role as Associate Director, Cognitive Engineering @ S&P Global. Ex-Mastercard, Ex-Reliance, Ex-MuSigma, Ex-Entrepreneur.

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If my answers helped you feel free to buy me a coffee!

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
• Advanced cross-product with custom grouping
• Filtering tuples based on a specific duplicated value

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
• Hit the top ranking at Top 0.03% in early 2021
• Ended 2021 with Top 0.1% in yearly reputation-league