Hi, I’m Sepehr Mehrvar

Data-Driven Industrial Engineer & Analytics Specialist

I combine industrial engineering, data analytics, and machine learning to turn complex information into practical insights, efficient processes, and better decisions.

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About Me
Sepehr Mehrvar, data-driven industrial engineer and analytics specialist
CORE EXPERTISE

Where Engineering Meets Analytics

I apply analytical thinking, engineering methods, and modern data tools to understand complex problems and develop practical, evidence-based solutions.

Data Analytics & Business Intelligence

Transforming raw data into clear dashboards, meaningful metrics, and actionable insights using Python, SQL, Power BI, and data visualization.

TOOLS & METHODS

Power BI • SQL • Excel • Pandas • Data Visualization

View Analytics Projects

Process Optimization & Simulation

Using process analysis, queueing simulation, and optimization to identify bottlenecks, inform resource allocation, and support more efficient operations.

TOOLS & METHODS

Python • SimPy • NumPy • Discrete-Event Simulation • Optimization

View Simulation Projects

Machine Learning & Predictive Modeling

Developing and evaluating models for forecasting, classification, and anomaly detection to support planning and operational decisions.

TOOLS & METHODS

Scikit-learn • Forecasting • Classification • Anomaly Detection • Model Evaluation

FEATURED PROJECTS

Projects at the Intersection of Data and Operations

Selected projects spanning dashboards, simulation models, and predictive methods to examine operational challenges and support clearer decisions.

SmartBankSim bank queue simulation and staffing analytics project visualization
SIMULATION & OPERATIONS

SmartBankSim: Bank Queue & Staffing Simulation

A discrete-event simulation built with entirely synthetic data to examine how arrival patterns and teller coverage affect customer queues. It compares staffing scenarios using average and 95th-percentile wait times, customer abandonment, and staff utilization to illustrate capacity-planning and service-level trade-offs.

TOOLS & METHODS

Python • SimPy • Pandas • Power BI • Scenario Analysis

PROJECT OUTPUT

A scenario-testing framework showing how different teller coverage levels affect waiting time, customer abandonment, and staff utilization across changing demand periods.

ARTICLES & INSIGHTS

Practical Notes on Data, Operations & AI

I write about data analytics, industrial engineering, simulation, and machine learning, focusing on practical methods, clear examples, and more informed decisions.

OPEN TO OPPORTUNITIES

Let’s Connect

Mail

sepehr@analyst7.com

My location

Ottawa, Ontario, Canada

I’m open to opportunities in data analytics, industrial engineering, process improvement, and applied machine learning.

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