JAN SHENOUDA
Anna
Summary
Data Scientist with 10+ years across data engineering, analytics, and applied machine learning, building production pipelines and automation that improve revenue collection, reduce operational risk, and raise system reliability. Experienced in owning end-to-end initiatives from problem framing and data modeling (Silver/Gold and feature stores) through deployment, monitoring, and stakeholder adoption. Known for translating ambiguous operational pain points into scalable solutions across back-office systems, customer journeys, and case management workflows.
Overview
11
11
years of professional experience
1
1
Certification
Work History
Data Scientist
ViaPlus by Vinci Highways
Dallas
12.2022 - Current
- Operating as a senior individual contributor with end-to-end ownership of production analytics, machine learning, BI Reports, and automation initiatives across tolling back-office systems (BOS), customer platforms, and operational workflows.
- Partner closely with Product, Engineering, Operations, and Business stakeholders to design, deliver, and operationalize data-driven solutions that protect revenue, reduce manual effort, and improve system reliability.
- Owned and delivered a multi-layer, production-grade ML platform to predict collectible revenue, detect revenue leakage, and score customers based on behavioral risk and system abuse patterns.
- Designed and implemented a scalable data architecture spanning Silver → Gold → Feature Stores → Scoring Batches → Prediction Tables, supporting both ML pipelines and executive reporting.
- Led the full ML lifecycle: data extraction, cleaning, preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
- Enabled operations teams to prioritize actions based on predicted outcomes, improving decision quality and targeting high-impact cases for intervention.
- Built Python-driven orchestration scripts to support repeatable, auditable, and production-ready execution of the full solution.
- Designed and implemented end-to-end automation to resolve customer disputes, significantly reducing reliance on manual CSR workflows.
- Replaced human decision paths with rules-driven and data-driven automation, improving turnaround time, consistency, and operational cost efficiency.
- Integrated Power Automate with databases and downstream systems to ensure traceability, auditability, and controlled decision execution.
- Collaborated with operations and business teams to align automation logic with policy, compliance, and customer experience requirements.
- Architected and owned a monitoring platform to track availability, health, and user journeys across Back Office Systems (BOS), Internal applications, Public website, Mobile applications (iOS & Android).
- Implemented a unified data model to log real-time and historical system metrics, enabling both live dashboards and long-term analysis.
- Built alerting mechanisms that trigger notifications and automatically open tickets in the service management system upon detected incidents.
- Delivered visibility into system reliability and customer experience, supporting faster incident response and proactive issue detection.
- Developed POCs to validate advanced analytics and ML opportunities, including vehicle fingerprinting using make, model, and color attributes, image-based reject code classification, and traffic forecasting on toll roads.
- Translated exploratory POCs into decision-ready artifacts, informing roadmap prioritization and future production investments.
- Technology & Platforms (Applied at Scale): Python, SQL (SSMS), Power Automate, Power BI, Databricks, Azure ML, cloud-based data platforms, ML pipelines, and automation frameworks used in production and operational contexts, not isolated experimentation.
Data Scientist
Steward HealthCare
Dallas
10.2021 - 11.2022
- Served as a Data Scientist supporting healthcare operations and financial analytics, owning defined analytical initiatives and contributing to predictive modeling workflows within a regulated healthcare environment.
- Owned analytical initiatives from problem definition through structured data preparation, analysis, and stakeholder presentation.
- Designed and maintained SQL-based datasets, views, and reporting assets supporting operational and financial performance tracking.
- Acted as accountable owner for assigned reporting domains, ensuring data quality, reconciliation, and reliability.
- Prepared structured data pipelines using Python to transform and engineer datasets for modeling workflows.
- Supported predictive modeling initiatives executed through the DataRobot platform.
- Monitored model performance metrics and tracked degradation or drift over time.
- Participated in A/B testing and model comparison exercises to evaluate performance impact and support model selection decisions.
- Contributed to documentation and validation processes supporting model transparency and reliability in a regulated environment.
- Performed structured data extraction, cleaning, normalization, and preprocessing across healthcare systems.
- Applied exploratory and statistical techniques to identify operational trends and key performance drivers.
- Built early feature engineering workflows to improve predictive modeling readiness.
- Partnered with engineers, analysts, and business stakeholders to align datasets and analytical definitions.
- Supported enhancements to data models and reporting logic as requirements evolved.
- Operated with increasing autonomy, becoming a trusted owner for defined analytical and modeling-support initiatives.
Data Analyst
The PBAS Group
Etobicoke
10.2019 - 10.2021
- Served as a Data Analyst within the Pension Administration team, supporting client plan management, financial reporting, and system validation.
- Generated and validated recurring reports summarizing client payment activity, balances, and adjustments across defined reporting periods.
- Investigated discrepancies in financial records and ensured proper reconciliation before reports were delivered to stakeholders.
- Prepared documentation for all adjustments and data corrections to maintain audit traceability and transparency.
- Analyzed legacy system data to support migration efforts and ensure accurate balance carryover into updated systems.
- Performed time-series analysis and forecasting to support client performance evaluation and future planning.
- Developed structured analytical models to identify trends and assist in performance projections.
- Delivered forecast insights to internal teams and stakeholders to inform operational planning decisions.
- Contributed to the development and maintenance of machine learning and AI initiatives, including data preparation, training workflows, testing, and deployment support.
- Designed SQL stored procedures and structured data pipelines to prepare modeling-ready datasets.
- Built anomaly detection workflows to automatically identify irregular patterns and trigger alerts to internal teams and clients.
- Supported deployment of analytical and ML workflows to production environments under supervision and team collaboration.
- Technology & Platforms: SQL Server, Python, time-series analysis workflows, forecasting models, anomaly detection pipelines, reporting automation within pension administration systems.
Product Data Analyst
SHOPPERS DRUG MART – WELL-WISE, E-COMMERCE
Toronto
12.2018 - 09.2019
- Served as a Product Data Analyst within the eCommerce division, supporting product lifecycle management, pricing accuracy, inventory analysis, and online sales optimization.
- Maintained and managed product data across the expanding eCommerce platform, ensuring accuracy in pricing, product attributes, and promotional alignment.
- Partnered with management to coordinate pricing strategies and upcoming promotional events, ensuring website content aligned with marketing campaigns.
- Collaborated with vendors and manufacturers to collect updated product data and maintain data consistency across systems.
- Reviewed and corrected sales and product data discrepancies to protect reporting accuracy and customer trust.
- Used advanced Excel tools (pivot tables, formulas, macros) to analyze inventory levels and forecast reorder needs.
- Generated multi-department reports including sales performance, new product analysis, and inventory tracking.
- Applied MS-SQL for structured data retrieval and used SSRS for report generation.
- Developed early predictive models using Python to forecast national sales trends.
- Conducted exploratory data analysis to identify demand drivers and feature impact on performance.
- Built dashboards in Tableau to support business stakeholders with visual performance tracking and insights.
- Technology & Platforms: Excel (advanced analytics & macros), MS SQL, SSRS, Python, Tableau, retail eCommerce data systems.
Data Analyst
CITY NATIONAL BANK
Los Angeles
12.2016 - 02.2018
- Served as a Data Analyst within the banking analytics function, responsible for transforming structured financial data into actionable insights.
- Collaborated with multiple business departments to gather requirements and translate operational questions into analytical deliverables.
- Compiled and reconciled cross-departmental data to generate structured reports and analytics.
- Supported data quality assurance through structured cleansing and validation processes.
- Retrieved and integrated data from multiple databases to support analytical workflows.
- Partnered with Tableau developers to ensure accurate visualization of financial insights.
- Utilized SSRS and SSAS to generate structured reports and analyze aggregated datasets.
- Contributed to a large-scale data pipeline initiative alongside the Data Science team.
- Technology & Platforms: SQL databases, SSRS, SSAS, Tableau collaboration, financial data reporting systems.
Oracle Forms, Reports, and PL/SQL Developer
IGROW SOLUTIONS
Euless
10.2014 - 10.2016
- Worked as an Oracle developer responsible for designing, developing, and maintaining enterprise applications using Oracle Forms, Reports, and PL/SQL.
- Designed and implemented enterprise application modules using Oracle Forms, Reports, and PL/SQL.
- Participated in solution architecture discussions and contributed to integration strategies for custom enterprise systems.
- Developed custom programs and database procedures supporting business workflows and reporting requirements.
- Ensured new solutions integrated smoothly into existing client environments and operational systems.
- Maintained and supported production systems, troubleshooting application issues and resolving system bugs.
- Responded to end-user support requests and implemented fixes or enhancements to improve system performance and usability.
- Monitored system stability and contributed to ongoing maintenance activities.
- Led daily development team meetings to align on project objectives, milestones, and delivery timelines.
- Coordinated with development team members and technical leads to track progress and resolve technical challenges.
- Helped implement structured development processes covering the full lifecycle from application build through client sign-off.
- Key Contributions: Designed and deployed appointment scheduling modules and operational reporting features.
- Built daily reporting systems for purchase tracking and inventory storage levels.
- Contributed to the establishment of structured development workflows for application delivery and deployment.
Education
Bachelor of Information Technology and Business Administration -
Sadat Academy of Management Science
EgyptArtificial Intelligence (Agentic AI) -
University of Toronto School of Continuing Studies
Data Science Certificate Program -
University of Toronto School of Continuing Studies
Skills
- End-to-End ML Delivery
- Workflow Automation
- SQL Development
- Data Modeling
- System Health Monitoring
- User Journey Monitoring
- Dashboarding
- BI Enablement
- Revenue Leakage Analytics
- Collections Analytics
- Stakeholder Management
- Cloud Engineering
- Platform Engineering
- Python
- SQL
- Pandas
- NumPy
- Scikit-learn
- TensorFlow
- PySpark
- Spark
- Azure
- Databricks
- Power Automate
- Git
- CI-CD
- APIs
- Integrations
- Power BI
- Tableau
- Qlik Sense
- SSRS
- SSAS
- Oracle
- Excel
Certification
- Artificial Intelligence (Agentic AI) | University of Toronto School of Continuing Studies
- Data Science Certificate Program | University of Toronto School of Continuing Studies
- AZ-900 Microsoft Azure Fundamentals
- DP-203 Data Engineering On Microsoft Azure (In Progress)
- Oracle Database SQL Expert - 1Z0-047 Certificate
- Oracle Database 11g: Program with PL/SQL - 1Z0-144 Certificate
- Oracle Fusion Middleware 11g: Build Applications with Oracle Forms - 1Z0-151 Certificate
Timeline
Data Scientist
ViaPlus by Vinci Highways
12.2022 - Current
Data Scientist
Steward HealthCare
10.2021 - 11.2022
Data Analyst
The PBAS Group
10.2019 - 10.2021
Product Data Analyst
SHOPPERS DRUG MART – WELL-WISE, E-COMMERCE
12.2018 - 09.2019
Data Analyst
CITY NATIONAL BANK
12.2016 - 02.2018
Oracle Forms, Reports, and PL/SQL Developer
IGROW SOLUTIONS
10.2014 - 10.2016
Bachelor of Information Technology and Business Administration -
Sadat Academy of Management Science
Artificial Intelligence (Agentic AI) -
University of Toronto School of Continuing Studies
Data Science Certificate Program -
University of Toronto School of Continuing Studies