• Home
  • Blog
📑

Resumé

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.

🔗 LinkedIn

✏️ Google Scholar

👨‍💻 GitHub

📊 Kaggle

📧 hello@nabi.me

🤓 About me

image

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

icon
Instructor, Vancouver Community College September 2022 - now
  • MKTG 2005: Marketing Automation
image
icon
Sessional Faculty, University of Canada West September 2022 - now
  • BUSI 651: Machine Learning
  • BUSI 650: Business Analytics
  • MKT 623: Digital Marketing Strategies
image
icon
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.

Learn more: 🧮2021: Demand Generation Manager

image
icon
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

Learn more: 🍕2019: Marketing Manager

image
icon
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)

Learn more: 📱2018: Product Marketing Manager

image
icon
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.

Learn more: 🎯2016: Marketing Analytics Manager

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)

Learn more: 🏗️2015: Geotechnical Engineer - Data & Analytics

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

Learn more: 🍼2013: Engineer Intern

image

🎓 Education

icon
Master (MS) in Data Science, University of British Columbia September 2022 - August 2023
  • Sessional Average: 91.8%
image
icon
MBA in Marketing, University of Tehran September 2018 - May 2019

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

Learn more: 🎓MBA in Marketing

image
icon
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)

Learn more: 🎓M.Sc. in Geotechnical Engineering

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

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

Learn more: 🎓B.Sc. in Civil Engineering

image

🏗️ Selected Projects and Papers

Projects

2 views

Projects

Papers

Modeling and simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for concrete strength predationModeling and simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for concrete strength predation
Modeling and simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for concrete strength predation
October 1, 2018
Integrating Decision Support Systems (DSS) and Building Information Modeling (BIM) to optimize the selection of sustainable building components considering the construction schemeIntegrating Decision Support Systems (DSS) and Building Information Modeling (BIM) to optimize the selection of sustainable building components considering the construction scheme
Integrating Decision Support Systems (DSS) and Building Information Modeling (BIM) to optimize the selection of sustainable building components considering the construction scheme
September 12, 2018
Application of What-If Analysis in project scheduling and planningApplication of What-If Analysis in project scheduling and planning
Application of What-If Analysis in project scheduling and planning
September 9, 2018
Business environment analysis framework projectBusiness environment analysis framework project
Business environment analysis framework project
July 25, 2018
Cashflow analysis of construction projects using Building Information Modelling (BIM)Cashflow analysis of construction projects using Building Information Modelling (BIM)
Cashflow analysis of construction projects using Building Information Modelling (BIM)
May 17, 2018
Numerical Analysis of seepage in earth-fill dams (Finite element method)Numerical Analysis of seepage in earth-fill dams (Finite element method)
Numerical Analysis of seepage in earth-fill dams (Finite element method)
June 11, 2015
Optimizing the location of a sample municipal solid waste landfill using ArcGISOptimizing the location of a sample municipal solid waste landfill using ArcGIS
Optimizing the location of a sample municipal solid waste landfill using ArcGIS
May 10, 2015
Developing a hyperbolic numerical model to predict stress-strain behavior of Municipal Solid Waste (MSW) materialsDeveloping a hyperbolic numerical model to predict stress-strain behavior of Municipal Solid Waste (MSW) materials
Developing a hyperbolic numerical model to predict stress-strain behavior of Municipal Solid Waste (MSW) materials
November 1, 2014
An introduction to social justice and sustainable development in transportation engineering (Routing optimization)An introduction to social justice and sustainable development in transportation engineering (Routing optimization)
An introduction to social justice and sustainable development in transportation engineering (Routing optimization)
April 1, 2013
image

Links

👔Work Experience📚Education

Contact Me

🔗 LinkedIn

✏️ Google Scholar

👨‍💻 GitHub

📊 Kaggle

📧 hello@nabi.me

© Made with Notion + Super. 2023

Home

Blog

Made with Notion + Super. 2024

LinkedInGitHub