This year was quite fruitful. I started off dabbling a bit with basic Neural Networks. Nothing stuck in my mind until I did a mini project. In 2019 I plan to expand my knowledge to cover more algorithms and try some ML engineering tools such as MLFlow or Sagemaker. Next I learnt some Big Data technologies (Hadoop, Hive and Spark) due to job requirements. This is an ongoing process compared to Machine learning which was just a curiosity. Finally I learnt quite a bit of Ansible and little of Jenkins, once again for job requirement. While these are the major bits, I toyed around with few other tools such as OR-tools (operations research), Pandas, Matplotlib, Scrapy. On the whole, 2018 is a year I would like to replicate every year in terms of personal development.