Hands on with Python or R
Analytics using industry leading BI tools and technologies
Implementation knowledge of supervisedun-supervised machine learning algorithms
Good statistical analysis skills for data pre-processing and data wrangling
Experienced in using big data frameworks like Hadoop
Knowledge of business intelligence tools or reporting tools
Data Preparation for Modeling
Missing Data Imputation,Outlier Treatment
Scaling, Normalization, Standardization
Encoding for Categorical Variables
OversamplingUndersampling for reducing class imbalance
Experience in building solutions using Model Library
Feature Selection
Tree-based Ensemble Models
GradientAdaptive Boosted Trees
Hyper – parameter tuning
Building Prediction mechanisms using methods like Logistic regression, voting classifier stacking etc
Primary responsibility
Develop Artificial intelligence solutions for clients business problems to drive business outcome
Develop data platforms to support analytical and / or AI/ML solutions
Develop end-to-end integrated applications for operationalizing AI/ML models and Insights
Develop impactful presentations to convey insights to technical and non-technical audience
Contribute to internal innovation / solution development charted by leveraging
Contribute to internal competency building initiatives on Analytics and AI / ML areas
Support consulting and sales team in relevant opportunities
Skills & Experience:
Experience in developing Artificial Intelligence applications leveraging Statistical / Machine Learning / Deep learning methodologies
Data Visualization (technology agnostic)
SQL, R or Python, Hive, Spark,


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