Note : Strong on Python / NLP / ML / Unstructured data / structured data / Big data
Selecting features, building and optimizing classifiers (data models) using machine learning and Natural language processing techniques.
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Excellent understanding of machine learning techniques and algorithms, such as L/Log R, K Means(k/2), SVM, Sentiment analysis, POS Tagging, Syntactic + Semantic Analysis, regression, etc.
Experience with common data science toolkits, such as Python, SciKit, NumPy, MatLab, etc.
Experience with at least one Live Project(using real data).
Experience with data visualization tools, such as D3.js, GGplot, etc.
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills.
How to apply:
Please mention NLP People as a source when applying