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AI-Driven Insights and Lead Prediction for Cleantech Expansion

Open Opened on June 12, 2025
Main contact
Global Cleantech Directory
Global Cleantech Directory
Richmond Hill, Ontario, Canada
shohreh sabaghpour
shohreh sabaghpour
CEO & Founder
(3)
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Project
Academic experience
415 hours of work total
Learner
Ontario, Canada
Intermediate level

Project scope

Categories
Artificial intelligence Data analysis Data modelling Data visualization Machine learning
Skills
No skills listed
Details

Company

Global Cleantech Directory

Connecting cleantech businesses globally to accelerate sustainability and innovation.


Project Summary

This project will support the Global Cleantech Directory platform by leveraging advanced data analytics and AI to track user engagement, forecast growth, and identify high-value leads. Interns will apply machine learning to real user behavior data and create predictive models and dashboards to help increase conversions and platform adoption. Their work will directly improve decision-making, marketing, and user experience design across the platform.


Internship Objectives

  • Build predictive models to understand user intent and likelihood of sign-up or upgrade

  • Analyze user interaction data (listings viewed, chatbot messages, time on page, etc.)

  • Create dashboards that summarize listing engagement, user trends, and regional growth

  • Deliver strategic recommendations to improve business conversion and user retention

  • Integrate data-driven insights with existing chatbot and AI assistant design


Tools & Data

  • Languages/Tools: Python, SQL, Tableau, Power BI, Excel

  • Data Sources: Platform activity logs, listing metadata, chatbot transcripts (if anonymized)

  • Collaboration: Slack or Teams, Zoom check-ins, shared Google Drive or Notion for documentation


Suggested Skills

  • Intermediate to advanced knowledge of Python (pandas, sklearn, matplotlib)

  • Experience in classification models, clustering, or time series forecasting

  • Familiarity with dashboard tools (Power BI, Tableau)

  • Ability to explain findings to non-technical stakeholders


Ideal Student Profile

  • MDA student with strong curiosity and a business mindset

  • Interest in cleantech, sustainability, or digital platforms

  • Able to work independently while meeting key project milestones


Timeline

  • Duration: 10–12 weeks (Sept 22–Dec 14, 2025)

  • Estimated hours: 350–480 hours

  • Mode: Remote


Why Join This Project?

Help a cleantech platform grow faster using the power of AI. Your work will directly influence global business engagement, and you’ll leave with a real-world analytics portfolio that demonstrates high-impact, applied data science.

Deliverables

Project Deliverables


  • User Behavior Analysis

  • Exploratory data analysis (EDA) to identify platform usage trends

  • Visualizations of top-performing listings, categories, and user journeys

  • AI Models

  • Lead scoring model to predict user signup/upgrade likelihood

  • Churn prediction model to identify inactive or at-risk users

  • Optional: Auto-categorization model for new listings based on text

  • Business Intelligence Dashboard

  • Interactive reports using Tableau or Power BI

  • Metrics: visits, listings viewed, signup funnel, engagement heatmaps

  • Weekly Insights + Final Stakeholder Report

  • Key findings and strategic recommendations

  • Suggestions for chatbot trigger optimization based on analytics



Expected Outcomes for the Company


  • Improved ability to predict and convert business leads

  • Data-driven strategy to enhance chatbot engagement

  • Interactive dashboard for leadership use

  • Scalable AI models that can be integrated into future product features



Mentorship
Domain expertise and knowledge

Providing specialized knowledge in the project subject area, with industry context.

Skills, knowledge and expertise

Sharing knowledge in specific technical skills, techniques, methodologies required for the project.

Hands-on support

Direct involvement in project tasks, offering guidance, and demonstrating techniques.

Tools and/or resources

Providing access to necessary tools, software, and resources required for project completion.

Regular meetings

Scheduled check-ins to discuss progress, address challenges, and provide feedback.

About the company

Company
https://globalcleantechdirectory.com/
Richmond Hill, Ontario, Canada
2 - 10 employees
Environment, It & computing, Technology, Trade & international business, Clean technology
Representation
Community-Focused Minority-Owned Small Business Sustainable/green Women-Owned

The Global Cleantech Directory is a transformative platform designed to connect cleantech businesses, investors, policymakers, and industry leaders on a global scale. By fostering collaboration, innovation, and market expansion, this directory plays a crucial role in building a sustainable economy while helping businesses navigate international trade challenges, including the ongoing trade war and US tariffs.

In an era where climate solutions and economic stability must go hand in hand, the Global Cleantech Directory empowers businesses to expand globally, secure funding opportunities, and strengthen their resilience against trade barriers. Through its commitment to inclusive diversity, the platform ensures that cleantech leaders from diverse backgrounds—from North America to the Asia Pacific and beyond—are connected, supported, and equipped to drive sustainability forward.

This project will migrate the existing WordPress website to a MERN-based platform, ensuring improved scalability, security, and user experience while reinforcing the Global Cleantech Directory’s mission: bridging businesses, driving clean technology innovation, and fostering a greener global economy.