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 eight 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, 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

  • Pandas, NumPy
  • Matplotlib, Seaborn
  • Marketing Management
  • Team Leadership
  • Strategic Planning
  • Project Management
  • Data Analysis
  • LP Optimization, Unbounce
  • CRM, SalesForce
  • Behavior Analysis, Mixpanel
  • Market Research
  • Marketing Automation, Hubspot
  • Advertisement
  • SQL, MongoDB
  • R, Python
  • Tableau, Google Data Studio

👨🏻‍💻 Work experience

Instructor, Vancouver Community College September 2022 - now
  • MKTG 2005: Marketing Automation
Sessional Faculty, University of Canada West September 2022 - now
  • BUSI 651: Machine Learning
  • BUSI 650: Business Analytics
  • MKT 623: Digital Marketing Strategies
Demand Generation Manager, Railz AI Financial Technology Inc. September 2021 - September 2022
  • Directed Railz’s demand generation strategy and increased marketing’s contribution to annual recurring revenue (ARR) to 33% (7.2% quarterly increase)
  • Managed over multi-six figure paid ads budget (confidential) and increased the customer lifetime value (CLTV)/ customer acquisition cost (CAC) to 3.89
  • Increased touchpoints within a customer’s journey, optimized landing pages, and converted engaged contacts through calls-to-actions and thought leadership content, leading to a 45% increase in leads/MQL.
Marketing 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 amplified its ROI by 46%
  • Directed company-wide marketing strategy and marketing team of 4
Product Marketing Manager, Huawei Technologies February 2018 - August 2019
  • Directed product marketing strategy and contributed $3M to Huawei Music Mobile App’s ARR target
  • Managed over $0.4M/yr marketing budget and a product marketing team of 7
  • Designed lifecycle marketing strategies and reached 600,000 MAU (160% improvement)
Samanpey Soil Improvement Services Marketing Analytics Manager August 2016 - February 2018
  • Developed SamanPey’s website and directed company-wide marketing strategy
  • Managed +$100K marketing budget and contributed 32% of the revenue
  • Launched in-house SEO and content marketing strategy resulting in +500 daily organic website visitors (54% of daily traffic) and a 2.6% conversion rate.

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
  • Proposed stress-strain prediction models based on available construction’s normalized historical data to predict excessive deformations of structure (prescriptive analysis)

Engineer Intern June 2013 - September 2013

  • Reviewed QC and As-Built reports for +4000 Sqm
  • Collected survey data, stationed and drone images to estimate earthwork volumes through image processing
  • Reviewed blueprints to ensure that they meet code requirements

🎓 Education

Master (MS) in Data Science, University of British Columbia September 2022 - August 2023
  • Sessional Average: 91.8%
MBA in Marketing, University of Tehran September 2018 - 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 Projects and Papers





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