Technical Skills Required:
• Hands on with Python or R
• Analytics using industry leading BI tools and technologies
• Implementation knowledge of supervised\un-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 Modelling
• Missing Data Imputation,Outlier Treatment
• Scaling, Normalization, Standardization
• Encoding for Categorical Variables
• Oversampling\Undersampling for reducing class imbalance
Experience in building solutions using Model Library
• Feature Selection
• Tree-based Ensemble Models
• Gradient\Adaptive Boosted Trees
• Hyper-parameter tuning
Building Prediction mechanisms using methods like Logistic regression, voting classifier stacking etc
Data Science,
IT-Software- Software services