Python, C++, C, SQL, R, Java, Machine learning (scikit-learn), Deep learning (Keras and Tensorflow), Python libraries (Pandas, NumPy, etc.), SQL Server, MySQL, Oracle SQL, PostgreSQL, AWS Redshift, AWS Athena, DynamoDB

• Managed a team of data scientists, organised team meetings and led the vision of machine learning
• Interviewed and onboarded data scientists, machine learning engineers and data analysts to build a high growth team
• Designed the ML deployment pipeline for the Data Science team using AWS ecosystem (SageMaker, Docker, ECR, S3, Lambda)  
• Designed a Support Vector Machine model for customer churn prediction
• Built automation pipelines for finance analyst by (k-means) clustering large datasets
• Performing time-series analysis and forecasting, pricing models, and natural language processing
• Worked closely with quantitative analysts to develop a Random Forest model using Python