- Adept at Machine learning techniques and algorithms.
Feature selection, dimensionality reduction, building and
- optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Doing ad-hoc analysis and presenting results
- Proficiency in using query languages such as N1QL, SQL
Experience with data visualization tools, such as D3.js, GGplot,
- Plotly, PyPlot, etc.
Creating automated anomaly detection systems and constant tracking
- of its performance
- Strong in Python is a must.
- Strong in Data Analysis and mining is a must
- Deep Learning, Neural Network, CNN, Image Processing (Must)
Building analytic systems - data collection, cleansing and
- integration
Experience with NoSQL databases, such as Couchbase, MongoDB,
Cassandra, HBase

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