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How can data and AI help in wildlife conservation? 🐦
I built an interactive Streamlit dashboard that uses machine learning to classify 867+ bird species with 97% accuracy, helping uncover patterns and insights for conservation efforts.
🔹 Built a classification model to accurately identify bird species
🔹 Developed an interactive dashboard for exploration & insights
🔹 Enabled data-driven understanding of species distribution and behavior
Tools: Python | Streamlit | Scikit-learn | Pandas | Machine Learning
💬 Interested in building intelligent, data-driven solutions like this? Let’s connect. 🚀
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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DataStory turns any CSV into a visual story your audience can actually understand. Upload data, pick your audience — Business, NGO, Student, or Social Media — and instantly get charts, AI insights, and a narrative in the right tone.
🔗 Live App: gloss-pink-92515363.figma.site
Built with Figma Make + Supabase.
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A modern Air Monitoring Dashboard designed to transform complex environmental data into clear, actionable insights. Focused on air quality monitoring, pollution tracking, carbon analytics, and geospatial visualization, helping users understand environmental conditions at a glance through intuitive data visualization and real-time metrics.
📩 Collaborate with Us? Contra Cansaas Agency
A store made $2.3M in revenue and was still losing money. Here’s where it was going wrong.
I built a Sales & Profit Analysis dashboard covering 4 years of data
And the numbers told a story revenue alone would never show.
The findings:
📍Furniture had $740K in sales but only $20K in profit
📍Tables and Bookcases had negative margins which means selling more meant losing more
📍The South region was bleeding compared to every other region
📍Technology was quietly carrying the entire business
The fix wasn’t complicated once the data was clear:
✅Reduce Furniture discounts and renegotiate supplier costs
✅Invest more in Technology since it’s already winning
✅Study the West region and replicate it in the South
That’s what a good dashboard does.
Not just show numbers
It shows you exactly where to act.
This dashboard was built with Power BI.
The hardest part was knowing which questions to ask before touching the tool.
What’s one business decision in your industry that data could make obvious but most people still make on gut feeling?
Thank you
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