Mohammad Reza Nabizadeh, M.Sc., MBA

Growth Data Science Strategist

I am an Engineer who became a growth data science strategist specializing in data-driven business management and marketing insight.

👨‍💻 GitHub

📊 Kaggle

About me


For almost seven years, I have worked with tech enterprises like Huawei Technologies and hyper-growth Canadian startups like Railz AI. I have managed over a $2M marketing budget, increased its Return on Investment (ROI) by 36%, and contributed $8.25M in Annual Recurring Revenue (ARR). As a data-driven marketer, I designed strategies to engage with users and analyzed their behavior metrics, conversions, and retentions for over 1 million yearly active users.

Specializing in the design of user research plans and implementation of user behavior tracking platforms, I have developed a range of business metrics dashboards and data analysis tools to evaluate the effectiveness and return on investment of marketing programs.

I have done numerous data analytics in interaction-based customer segmentation, real-time sentiment analysis, causal inference, A/B tests, and purchase tendency prediction. Through my data-driven marketing experience, I have analyzed the customer acquisition cost, predicted the net profit, and optimized the daily ad spending on each marketing channel. At Railz, I have implemented an in-house user behavior analysis framework that enriches prospects' properties, predicts buying intent by analyzing leads' behavioral history, and derives product development insights through various clustering analyses.

🛠 Skills

Technical Skills

  • Languages: Python, R, C++
  • DBMS: SQL, MongoDB, PostgreSQL
  • ML: Scikit-Learn, XGboost, MLflow, TensorFlow, PyTorch
  • Development: CI/CD, git/Github/Gitlab, Docker
  • Data Visualizations: Matplotlib, Plotly Dash, ggplot, R Shiny, Tableau
  • Cloud: Google Cloud Platform, BigQuery, Vercel, Cloudflare
  • Google 360 Suite: Analytics, Search Console, Tag Manager, Optimize, Data Studio

Managerial Skills

  • Team Leadership (up to 5)
  • Strategic Marketing Management
  • Market Research and Business Intelligence
  • Product Management: Agile, Jira, Confluence, Kanban
  • Automation: SalesForce, HubSpot
  • Behavior Analysis: Mixpanel

👨🏻‍💻 Work experience

Sessional Faculty, University of Canada West September 2022 - now
  • MKT 650: Business Analytics
  • MKT 623: Digital Marketing Strategies
Instructor, Vancouver Community College September 2022 - now
  • MKTG 2005: Marketing Automation
  • MKTG 1043: Introduction to Digital Marketing
Demand Generation Manager, Railz AI Financial Technology Inc. September 2021 - September 2022
  • Directed Railz’s demand generation strategy, increased CLTV/CAC ratio to 3.89 (25% growth), and improved the inbound revenue pipeline contribution from 20% to 34%
  • Designed and implemented marketing automation workflows, and carried out A/B testing research on the landing pages, emails, and content recommendations resulting in a 45% increase in the MQL/L ratio
  • Managed and ran user behavior research project from study/design, event tracking platform integration with Mixpanel, and deployment of an in-house business metrics and lead scoring dashboard
Marketing Analytics Manager, Tutti Delivery App September 2019 - August 2021
  • Contributed $1.5M to Tutti’s annual recurring revenue (ARR)
  • Managed over $0.5M/yr marketing budget and optimized digital ad spend resulting in a 46% increase in ROI (40% decrease in CAC).
  • Nominated for "2021 VCC Business of the Year" award
Product Marketing Manager, Huawei Technologies February 2018 - August 2019
  • Directed product marketing strategy and contributed $4M to Huawei Music Mobile App’s revenue target
  • Managed over $0.4M/yr marketing budget and a product marketing team of 5
  • Designed the customer lifecycle and segmentation strategies and reached 600,000 MAU (160% improvement)
Samanpey Soil Improvement Services

Marketing Analytics Manager August 2016 - February 2018

  • Directed company-wide marketing analytics strategy and managed a +$100K marketing budget and contributed $0.5M to the annual recurring revenue (ARR) target
  • Worked with the sales team to implement a lead scoring system that improved lead quality and increased the conversion rate by 25%
  • Developed a data-driven pricing strategy based on analysis of historical project data, resulting in increased profitability on new projects

Geotechnical Engineer - Data & Analytics May 2015 - August 2016

  • Analyzed the land survey data and geological datasets to propose possible soil improvement scenarios
  • Numerical and Finite Element (FEM) analysis of proposed design and comparison of results with in-situ datasets

Engineer Intern June 2013 - September 2013

  • Collected survey data, stationed and drone images to estimate earthwork volumes through image processing of +100GB of raster graphics
  • Used processed images to analyze the slope stability and identify areas that are prone to failure for +4000 Sqm of soil-nailed walls

🎓 Education

Master (MS) in Data Science, University of British Columbia September 2022 - August 2023
  • Cohort 7 of UBS-V MDS (95 individuals from 2000+ applicants) - GPA 92.8/100
  • Finalist - Learning Analytics Hackathon 2022 hosted by the Centre for Teaching, Learning, and Technology at UBC
MBA in Marketing, University of Tehran September 2017 - May 2019

🏆 Graduated summa cum laude (GPA 4.00, Class rank 1 among 52 students)

Iran University of Science and Technology M.Sc. in Geotechnical Engineering September 2014 - September 2016

🏆 Graduated summa cum laude (GPA 4.00, Class rank one among 22 students)

B.Sc. in Civil Engineering June 2013 - September 2013

🏆 Graduated magna cum laude (GPA 3.81, Class rank three among 87 students)


📄 Selected Papers

🏗️ Selected Projects

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