Umamah Fatima

I worked on designing an algorithm for a company product whose aim was to identify key loss contributing products in the Fast Moving Consumer Goods industry. I used dbt, Google Big Query, python and sql for my implementation.

• Responsible for data transformation and manipulation in a telecommunications client's Datalake project. • Developed features, resolved bugs, and ensured data delivery within agreed timelines. • Worked on process improvement, including code review and deployment processes. • Proficient in Azure Data Factory, Azure SQL Server, and Azure Databricks.

• Developed Time Series Forecasting models for multivariate time series data. • Experimented with different algorithms and evaluated model performance best on different parameters. • Conducted Exploratory Data Analysis, Feature Engineering, and Feature Selection. • Created production-ready code for handling different hierarchies and granularities.

• Managed data ingestion, preparation, cleaning, and transformation for FMCG clients. • Presented data to business teams through Power BI dashboards and reports. • Mentored and trained new hires in Data Engineering and software engineering tools.

• Implemented Product Lifecycle Management for Oracle Cloud customers. • Configured Oracle cloud's Product Lifecycle Management module and conducted data migration. • Gained experience in manual testing as a part-time Software Quality Assurance Engineer.

CGPA:3.3/4.0 Final Year Project: The Intelligent Mirror (A Smart Mirror with an Integrated Conversational Chatbot) The Intelligent Mirror combined the functionality of a mirror and a TV screen, creating an interactive and informative experience for users. We incorporated a sophisticated