Skillset
A brief discription about my technical skills
Data Science and Machine Learning skills.
From the past 3 years I have been working with python, R-prog and Matlab development, building tools and models to analyse data and bring out hidden secrets out of it. Below are the few statistical techniques, Data Mining and Machine Learning techniques that I have implemented on various datasets and these programs are available on my github profile.Statistical Techniques that I use in my day to day data science practice are :
1. Regression Analysis.
2. Correlation Analysis.
3. Hypothesis Testing.
4. Probability Distribution.
5. Sampling Techniques.
6. Dimensional Reductions.
Machine learning Algorithms that I use in my day to day data science practice are :
Supervised Learning - Classification Algorithms
1. Logistic Regression.
2. Naive Bayes.
3. Decision Trees.
4. K-Nearest Neighbours.
5. Random Forest.
6. Support Vector Machines.
7. Gradient Boosting.
8. MultiLable classification.
Unsupervised Learning :-
1. Clustering algorithms - KNN, Kmeans, Fuzzy Cmeans, GKFCM.
2. Association Analysis - Apriori.
Neural Networks :-
1.Tensorflow Keras - CNN's and RNN's.
2. Transfer Learning, GAN's.
All the above mentioned Machine Learning and data mining techniques are implemeted in atleast one of my academic projects, self taken projects, online courses etc. during my masters degree. Some of the examples of my implementation can be found at my github repository.
Artificial Intelligence and Computational Intelligence
1. Natural Language Processing : Tokenization, Lemmatization & Stemming, Stopword removing, Relationship extraction, Text Extraction - TF-IDF.
2. Gentic Algorithm.
3. Particle swarm optimization.
Please refer to home page for projects related to the above skills and quick links menu to look at my github profile where most of these techniques are implemented.
The things that I am learning constantly
The most importantly I am practicing creating machine learning piplines, data engineering concepts, SAS programming, Java and Javascript. I have recently started to build Recommendation engines in IBM watson studio which will be out shortly.
