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.
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
- MKT 650: Business Analytics
- MKT 623: Digital Marketing Strategies
- MKTG 2005: Marketing Automation
- MKTG 1043: Introduction to Digital Marketing
- 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
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- 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
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- 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)
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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
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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
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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
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🎓 Education
- 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
🏆 Graduated summa cum laude (GPA 4.00, Class rank 1 among 52 students)
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🏆 Graduated summa cum laude (GPA 4.00, Class rank one among 22 students)
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B.Sc. in Civil Engineering June 2013 - September 2013
🏆 Graduated magna cum laude (GPA 3.81, Class rank three among 87 students)
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📄 Selected Papers
🏗️ Selected Projects
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