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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

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.

Learn more: 🧮2021: Demand Generation Manager

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

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

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