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prince Synergisticit

@princesynergisticit

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I build cloud data pipelines and machine learning solutions that drive operational decisions.

United States

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What I'm looking for

I'm seeking an immediate opportunity to build scalable data engineering, machine learning, and BI solutions, using cloud platforms and cross-functional collaboration to turn complex data into actionable decisions.

I've built cloud-native data and machine learning solutions at Packet Digital and SynergisticIT, turning healthcare, retail, social media, and agricultural data into operational insights.

At Packet Digital, I redesigned Polli's drone-based weed detection pipeline with human-in-the-loop annotation, AWS automation, and YOLO fine-tuning, reaching 90% mAP@0.5. I also analyzed battery degradation data and developed an XGBoost model for end-of-life prediction.

At SynergisticIT, I delivered data pipelines, predictive models, and Power BI dashboards using AWS, Azure, Snowflake, PySpark, and Python. My work reduced clinical reporting latency by over 80%, achieved 96% sentiment-classification accuracy, and improved sales forecasting accuracy by 20% over baseline.

Experience

Work history, roles, and key accomplishments

Current

Applied Data Scientist Intern

Current

Packet Digital

Jan 2026 - Present (8 months)

Redesigned the end-to-end data and modeling pipeline for high-resolution aerial weed detection in Polli, introducing scalable human-in-the-loop annotation and optimizing small-object detection, resulting in improved model generalization and detection performance.