Job description
1. Must have – a. Programming – Python (Preferred) / R b. ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect ii. Classification – Bagging & Boosting (Random Forest), Decision tree, SVM iii. Clustering – K-Means, hierarchical, DB-Scan iv. Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM v. Neural Networks (Deep learning), Naive Bayes c. Excel and SQL d. Dimensionality Reduction – PCA, SVD etc. e. Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm f. Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud Good to have – a. Visualization – Tableau / Power BI / Looker / QlikView b. Data management – HDFS, Spark, Advanced Excel c. Agile Tools – Azure DevOps, JIRA d.Pyspark e. Big Data/Hive Database f: IDE: Pycharm
Hands on experience as handling team