Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...
Full BioNand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...
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How to get your first job as a data scientist.
- Kaggle mostly deals with machine learning, which is only one aspect of Data Science.
- When you work on Kaggle you are dealing largely with pre-cleaned data, so you don't get enough experience cleaning messy data, which is (colloquially) 80% of what a Data Scientist does.
- Because of the large volume of people entering Kaggle competitions, getting into the top few percent or winning a competition requires not only skill, but a lot of time and some luck.
- Data Cleaning Project - shows that you can take multiple messy data sets, clean them up, combine them and use them to perform analysis. (example)
- Data Storytelling Project - shows that you can extract insights from data, communicate these insights and reason with data. (example)
- Data Visualization Project - shows that you can communicate data visually using appropriate plots and charts.
- Machine Learning Project - shows that you can effectively build a model that makes accurate predictions with data (example)
- End to End Project - shows that you can build a stand-alone system that can take in data, processes it and produce output in a specific form. (example)
- Explanatory Post - shows that you can communicate and explain well with data by explaining a concept such a a statistical concept or a machine learning algorithm