7+ years of experience as a Software Engineer. 3+ years of experience in Machine Learning. Experience in Insurance, Banking, Retail, Healthcare domain. Working with a full machine learning system implementation process: generating training data, model design, feature selection, system implementation, and evaluation. Data Pre-processing Techniques for making the data useful for creating Machine Learning models. Build model and compare for evaluation and plot the model accuracy for each algorithm. Python for data analysis such as Numpy, Pandas, Matplotlib, and Seaborn. Feature extraction, correlation, and pre-processing from a range of data sources. Integrating with cloud APIs and data services. Communicate visually and effectively with Matplotlib and Seaborn. Working to train/test, K-fold, and Stratified K-fold cross-validation to select the correct model and predict model perform with unseen data. Experience in T-SQL / Mysql workbench and Database Systems skills including Stored Procedures, Views, User Defined Functions. Strong knowledge of Python, including tensorflow, pandas, Numpy, visualisation tools Matplotlib, Seaborn and Tableau.