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Hi there ๐Ÿ‘‹

I'm an experienced data scientist (~8 yrs) passionate about using machine learning and deep learning for real-world delivery and impact.

I enjoy exploring state-of-the-art techniques to solve data science problems on competitive platforms like Kaggle. I also maintain a technical blog here.

๐ŸŒฑ Iโ€™m currently reading Structure & Implementation of Computer Programs and adding my solutions to it's exercises in this repo. I'm also interested in functional programming in languages like Haskell & Racket.

You can check out my reading list & reviews on Goodreads. I've also added a few whistling tunes on Soundcloud.

If you want to to connect with me, you can reach out on my LinkedIn account.

Pinned

  1. kaggle-ieee-fraud-detection kaggle-ieee-fraud-detection Public

    Bronze Medal solution to Kaggle competition hosted by IEEE-CIS to detect fraud transactions

    Jupyter Notebook

  2. sicp_solutions sicp_solutions Public

    My notes and exercise solutions for the book Structure & Interpretation of Computer Programs

    Scheme

  3. sentiment-analysis-sagemaker sentiment-analysis-sagemaker Public

    Deploy a sentiment analysis model using AWS Sagemaker, Lambda and API Gateway

    Jupyter Notebook 1

  4. chicago_transit_kafka chicago_transit_kafka Public

    Web app to display real-time train station data using Apache Kafka

    Python 2 1

  5. sf_crime_spark_kafka sf_crime_spark_kafka Public

    Analyzing real-time data using Apache Kafka & Spark Streaming

    Python

  6. learn-you-a-haskell-tutorial learn-you-a-haskell-tutorial Public

    Programming exercises from the book Learn You a Haskell

    Haskell