DIVYANSH SHARMA

• Tasks included fetching raw data from third party vendors from SFTP and build pipelines using Python. Finally, pushed data to AWS Redshift and Aurora postgres SQL databases and S3 for reporting and model building.
• Performed tasks on data using various modules like Pandas, OS, Openpyxl, pywin32, JSON, Numpy, win32com etc
• Automated emails using HTML, CSS, smtp, email modules
• Applications were hosted using AWS EC2 and scheduled using cron schedulers.
• Pipelines were triggered using AWS Lambda and orchestrated using AWS Glue, AWS Sagemaker
• Automated data handling processes for operations team
• Involved in end to end automation from development to troubleshooting to document preparation and support(RCA).
• Awarded Bravo Award for commitment and hard work.

Masters Dissertation Project:

• Application of Machine Learning in Supply Chain and Management
• Forecasted Demands for meal delivery company
• Conducted comparative study on 4 models - Linear Regression, Neural Network, Random Forest and Decision Tree
• Performed EDA, Feature engineering on raw data using Numpy, Panda and other Python libraries
• Used libraries - Sklearn, Tensor flow to apply models