-
RunQL
Inspiration
We noticed that diving into data feels a bit like treasure hunting—especially when the treasure is discovering trends in Canadian tech investments! Inspired by the RunQL Canadian Tech Investment Challenge, we wanted to turn raw, messy data into actionable insights that investors, entrepreneurs, and policymakers could actually use. Plus, who doesn't love a good Canadian success story?
What it does
Maple Valley is an interactive, data-driven investment analysis platform that explores the vibrant Canadian startup scene. It provides intuitive insights into investment trends, sectoral and regional hotspots, and investor behaviors, while cleverly predicting where the money (and maple syrup!) will flow next
How we built it
With a mix of creativity, caffeine, and coding skills, we crafted an analytics pipeline using Python and some awesome analytical tools:
We built Maple Valley by diving deep into the Canadian tech investment dataset, starting with Python and Pandas to clean and preprocess the data—handling missing values, standardizing formats, and engineering new features. For visual storytelling, we used Plotly to create interactive charts, such as heatmaps showing regional investment hotspots and line graphs tracking funding trends over time, all integrated into a sleek Streamlit dashboard for real-time exploration. On the predictive side, we employed ElasticNet, Gradient Boosting Regressor/Classifier, KMeans, LSTM and Random Forest Regressor/Classifier to do predictive analysis.
Challenges we ran into
The complex correlations of different features are hard to navigate, analyze and present but we got through it with some time grind!
Understanding what to explore and what ML models to use for predictive analysis was difficult, we had to do a lot of testing and finetuning.
Accomplishments that we're proud of
Illuminated key Canadian tech investment trends clearly and compellingly
Pinpointed investor behaviors with Sherlock-level precision
Developed predictive models that confidently forecast investment success (take that, uncertainty!)
Created interactive dashboards so attractive, they're practically social media-ready
What we learned
Messy data is a hidden treasure chest—once you find the right keys
Predictive analytics combines science, intuition, and a bit of luck
Storytelling with data is an art form investors love (numbers can indeed speak!)
What's next for Maple Valley
Integrating real-time analytics into investor dashboards, giving decision-makers instant insights
Continuously refining our predictive models to keep pace with market dynamics
Market news sentiments analysis incorporated into predictive analysis
Taking our distinctly Canadian approach global—though we promise to keep our maple syrup handy!
Log in or sign up for Devpost to join the conversation.