Alizah Erum

MSc Data Science graduate with strong expertise in Python, SQL, and PowerBI for scalable data solutions and predictive modeling. Delivered predictive models and data visualizations that enhanced business outcomes and compliance. Proven ability to transform complex data into actionable insights, optimizing performance reporting and safety metrics. Adept at cross-functional collaboration and streamlining data reporting processes for informed decision-making.

Virtual Technical Support - AWS Service at Amazon (2023-05 – 2023-12)

• Faced with manual handling of 1,000+ recurring customer issues, automated troubleshooting workflows using Python scripts, which reduced resolution time by 25% and improved team efficiency.
• To improve efficiency in resolution, implemented structured analysis which led to 25% faster resolution time and earning the "Balanced Metrics of the Week" award three times
• Noticing fragmented customer issue data across systems, built ETL pipelines using Python and SQL to analyze patterns, which enabled targeted service improvements and reduced repeat issues.
• Analyzed ticket patterns to document issues and create a centralized playbook, increasing resolution efficiency by 20%.

Data Analyst Consultant at SG Analytics (2022-04 – 2023-03)

• ESG data for 500+ companies manually aggregated from multiple sources causing inconsistencies, I automated profiling using Python which improved compliance tracking efficiency by 30%.
• To eliminate manual errors in ESG compliance reports, built automated data validation processes, achieving 99% accuracy in all compliance submissions
• Analyzed fragmented ESG data across disparate sources, developed ETL pipelines to extract, transform (per regulatory standards), and load data into dashboards, enabling real-time compliance monitoring.
• Collaborated with cross-functional teams to ensure timely and accurate data reporting, aligning analytical outcomes with regulatory and compliance requirements.
• Identified data quality issues in 30% of incoming ESG reports and built automated anomaly detection scripts to flag discrepancies before processing.
• Demonstrated visibility into real-time ESG compliance status across 500+ companies for stakeholders by designed interactive dashboards using Power BI enabling leadership to track metrics instantly and reducing ad-hoc reporting requests by 50%.

Masters of Data Science in Data Science – University of Aberdeen, UK (2024 – 2025)

BA(Hons.) in Geography – Jamia Millia Islamia, India (2017 – 2020)