Saurabh askedon {{::getFormatedLocalTime("2018-10-22T12:29:11.677Z", {without_time: true})}}
Any openings in data science and machine learning? LinkedIn: https://www.linkedin.com/in/saurabh-kamble-52791314a/
I have 12 months of Experience with Python[Numpy,Pandas,MatplotlibSeaborn,Sklearn] and R programming. I have worked on Machine Learning , Natural Language Processing, Deep learning, Data Visualization tools like Tableau , QlikSense , Advance Excel and MySQL, looking for applying these skills on real-time data.Technical Skills:Applied Statistical Modelling for models analysing Z-score, Skew and Kurtosis, Data Transformation, Hypothesis Testing, Using ML Algorithms like Linear/Logistic Regression, Decision Trees, Random Forest,Xgboost,Naive-Bayes,PCA,SVM,K-means,KNN including working on Natural Language Processing with TensorFlow. Sentiment Analysis on IMDB movie dataset, Image Classification using CNN, Customer Segmentation/Churn Analysis.
Now, by all means, toolkits like SAS are the market leaders when it comes to analysis. But think about it. Employers that learnt Data Science through R are inclined to think that if someone doesn't know R, they aren't really in it. It is sadly true in most cases. So your hiring chances drop too. R definitely has a steep learning curve. Hence in the beginning years, you are bound to lose sight of doing the actual data analysis and are more focused on getting the syntax right, or getting the code to work, which is kind of a bad thing. Most large scale companies, where cost doesn't matter much, stick to the other 3. That being said, R is still much more flexible and a programming language that gives it an upper hand in some ways. It's not just a statistical tool. It's a language.
My knowledge on this is actually very limited, and this answer is based on an article I read, and I don't remember which though. My apologies.