Aram A.

Operations analytics professional with more than two years of combined experience in data analysis, statistics, quantitative research, consulting, project coordination, data visualization, and stakeholder support. Experienced as an analytical point of contact, translating operational needs into SQL-based analysis, KPIs, dashboards, recurring reports, forecasts, and actionable recommendations. Strong background in trend and variance analysis, statistical and mathematical methods, process standardization, data quality, ETL workflows, data pipelines, relational databases, programming algorithms, automation, and end-to-end analytical troubleshooting.

Proficient in Python, SQL, R, JavaScript, Microsoft Excel, Power Query, Pandas, NumPy, Scikit-learn, and Matplotlib. Clear communicator known for customer service, relationship building, organization, risk awareness, continuous improvement, and collaboration with technical and non-technical stakeholders.

Data Analyst - University of Alberta, Office of the Registrar - Edmonton, Alberta

(2025-07 - 2025-11)

• Served as an analytical contact for institutional stakeholders, clarified data and performance questions, gathered requirements, defined outputs, validated assumptions, and aligned reporting with operational and strategic priorities.
• Analyzed more than one million institutional and student records using SQL, statistical methods, and mathematical tools to identify trends, variances, emerging risks, performance differences, and operational implications.
• Redesigned regression and time-series forecasting models used to assess demand, resource requirements, planning scenarios, and changes in operational performance.
• Produced recurring and ad hoc analytical reports, data visualizations, performance summaries, and recommendations for technical and non-technical stakeholders.
• Improved data integrity by cleaning, validating, reconciling, and investigating missing information, anomalies, inconsistencies, and reporting errors across large datasets.
• Standardized and improved reporting processes by optimizing SQL queries, ETL workflows, validation procedures, documentation, and repeatable analytical pipelines.
• Troubleshot data, query, model, and reporting issues from source extraction through final output, improving reliability, reproducibility, and turnaround time.
• Documented data sources, business definitions, analytical methods, assumptions, limitations, privacy considerations, and decision impacts to support accountable use of information.

Junior Consultant - Noema Consulting - Remote

(2024-05 - 2025)

• Managed assigned analytics and technology-improvement work by prioritizing deliverables, coordinating stakeholder input, communicating progress, documenting decisions, and incorporating feedback.
• Engaged multidisciplinary subject-matter experts and business partners to gather requirements, clarify operational challenges, assess risks, and align analytical outputs with project objectives.
• Evaluated software tools, artificial-intelligence capabilities, machine-learning methods, and automation opportunities against business requirements, expected value, implementation constraints, quality risks, and measurable outcomes.
• Conducted structured reviews of systems, datasets, workflows, and model outputs to identify inconsistencies, performance issues, root causes, and opportunities for process improvement.
• Standardized evaluation and reporting processes by refining testing procedures, performance measures, technical templates, documentation standards, and quality-control workflows.
• Translated complex technical findings into concise reports, issue summaries, options, and recommendations for decision-makers and non-technical stakeholders.

Teaching Assistant - University of Alberta and University of Toronto - Edmonton and Toronto

(2022-09)

• Analyze recurring performance patterns and trends, identify gaps, recommend improvements, and support consistent delivery of academic services.
• Translate advanced mathematical, statistical, and analytical information into clear written and verbal explanations for diverse technical and non-technical audiences.
• Provide responsive customer service, investigate questions, resolve analytical issues, and communicate corrective actions with empathy and clarity.
• Collaborate with faculty stakeholders, coordinate priorities and deadlines, maintain confidential records, and ensure accurate, consistent reporting and documentation.

Graduate Researcher in Mathematics - University of Alberta and University of Toronto - Edmonton and Toronto

(2022)

• Lead end-to-end quantitative research using primary and secondary research methodologies, complex problem definition, literature review, hypothesis development, mathematical modelling, validation, and interpretation.
• Use Python, R, programming algorithms, statistical techniques, and mathematical tools to analyze data, compare approaches, assess risk, and evaluate reliability.
• Manage long-term projects, competing priorities, milestones, documentation, stakeholder feedback, and quality controls while working independently and collaboratively.
• Communicate technical findings through research reports, presentations, visual materials, and audience-appropriate recommendations.

Ph.D. - Mathematics - University of Alberta (2024-09)

Master of Mathematics - Mathematics - University of Toronto (2022-09 - 2024-04)

B.Sc. Specialization - Mathematics - University of Alberta (2017-09 - 2022-04)