I have overall 6+ years experience in ML and AI.
My strength is a mix of concepts, tools & approach.
1. Machine Learning concepts:
-Classification using Decision Tree, Naive Bayes, Random Forest
-Prediction using Regression (linear and logistic)
-Association rules mining (apriori), and Sequential rules mining
-Clustering using K-means
-NLP and Time Series Analysis
2. Tools:
R, Azure ML Studio, Google & AWS ML, Python, Spark ML lib, Deep Learning (TensorFlow & Caffe)
3. Design and Approach to a data science problem:
-Selecting the right algorithm, and sometimes approaching using a set of algorithms depending on the nature of data
-Feature engineering
-Production deployment and real-time scoring using a web service API
Please contact to discuss further.