Noor Ahamed

Aramark

Student Assistant

• Designed and maintained interactive Power BI dashboards to visualize key operational and financial metrics, enhancing visibility and enabling data-driven decision-making across business units.
• Utilized advanced Power BI features such as Copilot AI, DAX measures, and dynamic slicers.
  • Delivered personalized insights tailored to stakeholder needs and executive reporting requirements.
• Collaborated with cross-functional teams to refine dashboard usability and align visualizations with business KPIs.
  • Integrated real-time data sources to maintain up-to-date reporting and responsive user experience.
• Optimized complex SQL queries powering automated reports and dashboard back-ends.
  • Implemented indexing, CTEs, and refactoring techniques to reduce query response time by 25% and improve overall performance.
• Ensured high data accuracy and reliability across the reporting layer.
  • Established validation checkpoints and automated data refresh workflows using Power BI Service and SQL Server.

Albertsons Companies Inc.

Data Engineer / Data Analyst

• Designed and deployed end-to-end ETL and ML pipelines using Python, Apache Airflow, and AWS services (SageMaker, Glue, Lambda, S3, Redshift) to automate ingestion and transformation of data from sales, supply chain (SCM), and financial systems.
  • Developed, tested, and validated supervised ML models for anomaly detection and MRO issue prediction using feature engineering, cross-validation, and model drift detection.
  • Integrated Scikit-learn and Azure ML into CI/CD-enabled MLOps pipelines using GitHub Actions and Azure DevOps.
• Published and monitored ML model performance metrics including accuracy, precision, recall, F1-Score, MSE, and R² to ensure audit compliance and reliability.
  • Implemented model governance standards in line with internal audit requirements.
• Developed secure, production-grade codebases that passed static and dynamic InfoSec vulnerability scans.
  • Ensured enterprise-grade compliance through modular architecture and secure coding practices.
• Configured real-time monitoring and alerting systems using Amazon CloudWatch, SNS, and Azure Monitor.
  • Detected pipeline failures, performance bottlenecks, and data anomalies to ensure operational continuity.
• Built interactive dashboards and analytics reports using Power BI, Tableau, and AWS Redshift.
  • Supported fraud detection, SCM decision-making, and executive reporting through real-time visualizations.
• Created alerting and anomaly detection dashboards for Anti-Money Laundering (AML) and risk analytics.
  • Enabled regulatory compliance and early warning of suspicious transactions using streaming data insights.
• Performed data validation and reconciliation for complex JSON/XML datasets and SCD management.
  • Used iCEDQ and Great Expectations to ensure integrity and lineage across data pipelines.
• Authored detailed Runbooks and operational documentation covering pipeline architecture and cloud infrastructure.
  • Streamlined onboarding and compliance audits through comprehensive technical documentation.
• Collaborated cross-functionally with data scientists, DevOps engineers, auditors, and stakeholders.
  • Delivered AI/ML-powered solutions aligned with business objectives and governance frameworks.

Cognizant Technology Solutions

Intern

• Assisted in data acquisition and transformation for grocery retail financing data, improving data processing efficiency and reducing operational inefficiencies by 12%.
• Designed SQL-based data validation scripts to ensure data integrity in ETL workflows, reducing processing time from 20 to 8 minutes.
• Built interactive KPI dashboards to analyze grocery price, delinquency trends, and warehouse financing performance, improving reporting turnaround time by 65%.
• Supported financial modeling teams in structuring scenario-based use cases and optimizing loan stratification methodologies.

Languages

C

C#

Java

SQL

Python

HTML

CSS

JavaScript

TypeScript

Scala

R