Everything is Easy Until You Give up
Data Scientist with Bachelors in Management Science. I am an expert in Data Analysis/Cleaning and Data Visualization. Moreover, my expertise lies in creating models which revolve around Machine Learning Algorithms and then using those models to get deeper insights from the data. Moreover, I am learning to create value from Deep Learning, as I have implemented many neural networks on major classification problems and also in the creation of AI learning to play a stick balancing game. I have reflected my expertise by working on several projects which are quite diverse and are related to the core skills of data science e.g FB Page's Performance Analysis. Moreover, I aspire to win more Kaggle competitions and want to make a breakthrough in the world of finance through the application of Deep Learning.
Further, I have tried to implement a Bot Classification Model which allowed to differentiate whether a transaction was executed by Bot or a real human being. This is one of my recent project which was successfully deployed in a bidding company and they were able to save a lot of money due to this filtration model. The code and data used are available on my Github account.
Moreover, recently, I have also developed software engineering skills due to recent convergence(at least I believe in this) between data science and software engineering. These fields are no more isolated. As a data scientist, I have developed the required knowledge of good coding practice, Algorithms and Data structures. I believe that using the data to generate value and then using that value for the betterment of the product create by software engineering is one of the most crucial aspects of recent times. Consequently, I am striving to deploy more Machine/Deep Learning models in both web and android applications.
Finally, my unique proposition is quite simple. I love data. I believe that in the 21st century, data is more important than financial resources. However, to see its real value you need