Work Experience 2004~2010 - PeopleSoft Technical Developer 2010~Current - Retail Investing Interests C++ Python Machine Learning Statistics High Performance Computing ©

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I love data and I think data is defining the next industrial revolution. I started my data science journey back in 2018. My first course on data science was Andrew Ng’s machine learning course on Coursera. It gave me insights into how data is changing our contemporary world. I was determined that I need to pursue the field of Data Science. I delved deep into the field. I learned Octave and MatLab in the beginning but as I gained more knowledge I started learning python. Python unlocked a plethora of opportunities. It gave me the environment to experiment with newly acquired data science knowledge. Libraries like Sci-kit Learn, MatplotLib, Jupyter lab (environment), Pandas, NumPy etc. made the data science operations easier than ever. I started gaining interest in Natural Language Processing (NLP). I explored courses and books related to NLP and observed that there were many real-world problems which NLP can solve efficiently. The world is full of unstructured data ready to be extracted for knowledge. I started working on a classifying problem. As most of us know that the Indian Judicial system is exhausted and cases took years to came into a final decision. I decided to create a system which will predict the articles/ sections violated, of a particular act/law, based on case facts. This system can act along with side judges to give better and faster decisions. ©

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PHP / Devops by day. Haskell by night. I like Linux, Spacemacs, Dvorak, windows tiling managers. Music production, Bitcoin. Hopefully unconventional. ©