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Built a custom analytics workspace designed to transform complex business data into actionable insights and strategic recommendations.
Analyzed operational, customer, and product data to identify performance drivers, uncover inefficiencies, and support data-driven decision-making across multiple business areas.
The analysis included:
• Business performance analysis
• Customer & segment analysis
• Trend and driver analysis
• KPI development
• Operational insights
• Data storytelling & recommendations
• Executive reporting
Key outcomes included identifying high-value customer behaviors, operational bottlenecks, conversion drivers, and growth opportunities through structured data analysis and insight generation.
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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That's where I come in. I'm a Power BI specialist who transforms raw financial data into interactive dashboards.
This company had 6 months of unorganized data. No idea which divisions were profitable. Four million dollars stuck in unpaid invoices.
I cleaned the data, built an interactive dashboard, created advanced metrics using DAX, and delivered a full strategic analysis.
Result? They found 1.3 million dollars in working capital they didn't know they had.
That's the power of business intelligence. If you need financial dashboards, data integration, or strategic analysis... I'm your person.
The unpaid invoice problem is one of the most common and most expensive data blind spots in mid-sized businesses — the money exists but nobody can see it clearly enough to act on it. Finding $1.3M in working capital from 6 months of unstructured data is a result that speaks...
WIP. Analytics Dashboard for a technology company that helps businesses demonstrate their financial strength to potential clients.
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Implemented transfer learning using ResNet and EfficientNet architectures with PyTorch and Torchvision.
Improved model performance from ~3% CNN baseline accuracy to 78.97% ensemble accuracy through optimization and fine-tuning.
Applied advanced deep learning techniques including label smoothing, gradual unfreezing, weight decay, learning rate scheduling, and Test Time Augmentation (TTA).
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This is interesting! Which dog is the easiest to classify?
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