• Requirement gathering from client & suggesting analytical solutions/approach for implementation
• Collaborate with Data Architects/Database programmers
• Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA
• Statistical model (predictive & prescriptive) development on R Studio using various statistical & machine learning techniques/algorithms
• Test/train the model, Improve Model accuracy, Monitor model performance
• Prepare client consumable presentations with actionable insights for data driven decision making
• Make client presentations & engage with internal/external stakeholders in collaborative data science project management• Practical / Hands-on expert level experience in R / R Studio.
• Hands-on expertise in SQL
• Experience of developing >5 statistical models across projects inclusive of machine learning models
• Must have practical knowledge of various statistical model development techniques like below
o Regression Models – Linear & Logistic
o Customer profiling, segmentation & Clustering (Kmeans, hierarchical)
o Decision Tree & Random Forest
o Time Series forecasting
o Neural Network & Bayesian Network
o Factor Analysis/Principal Component
o Advanced algorithms like XGBoost, KNN, SVM etc. (Good to have)