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I am a data scientist and AI practitioner based in Dublin, Ireland. I design scalable AI agent frameworks and data-to-decision dashboards that automate lead qualification, streamline review processes, and deliver measurable ROI. I enjoy turning complex data into actionable insights and building maintainable, ethical AI systems that perform under tight deadlines.\n\nIn my work, I combine Python, SQL, and GIS tools to deliver impactful dashboards and AI-driven analyses. I thrive in remote and cross-functional teams, continuously learning and applying best practices in safety, governance, and scalable infrastructure to drive informed decision-making.…I am a data scientist and AI practitioner based in Dublin, Ireland. I design scalable AI agent frameworks and data-to-decision dashboards that automate lead qualification, streamline review processes, and deliver measurable ROI. I enjoy turning complex data into actionable insights and building maintainable, ethical AI systems that perform under tight deadlines.\n\nIn my work, I combine Python, SQL, and GIS tools to deliver impactful dashboards and AI-driven analyses. I thrive in remote and cross-functional teams, continuously learning and applying best practices in safety, governance, and scalable infrastructure to drive informed decision-making.

AMEY BHARAM

Data Scientist, AI Engineer, AI Developer, +2

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I am a data scientist and AI practitioner based in Dublin, Ireland. I design scalable AI agent frameworks and data-to-decision dashboards that automate lead qualification, streamline review processes, and deliver measurable ROI. I enjoy turning complex data into actionable insights and building maintainable, ethical AI systems that perform under tight deadlines.\n\nIn my work, I combine Python, SQL, and GIS tools to deliver impactful dashboards and AI-driven analyses. I thrive in remote and cross-functional teams, continuously learning and applying best practices in safety, governance, and scalable infrastructure to drive informed decision-making.…I am a data scientist and AI practitioner based in Dublin, Ireland. I design scalable AI agent frameworks and data-to-decision dashboards that automate lead qualification, streamline review processes, and deliver measurable ROI. I enjoy turning complex data into actionable insights and building maintainable, ethical AI systems that perform under tight deadlines.\n\nIn my work, I combine Python, SQL, and GIS tools to deliver impactful dashboards and AI-driven analyses. I thrive in remote and cross-functional teams, continuously learning and applying best practices in safety, governance, and scalable infrastructure to drive informed decision-making.

Available to hire

I am a data scientist and AI practitioner based in Dublin, Ireland. I design scalable AI agent frameworks and data-to-decision dashboards that automate lead qualification, streamline review processes, and deliver measurable ROI. I enjoy turning complex data into actionable insights and building maintainable, ethical AI systems that perform under tight deadlines.\n\nIn my work, I combine Python, SQL, and GIS tools to deliver impactful dashboards and AI-driven analyses. I thrive in remote and cross-functional teams, continuously learning and applying best practices in safety, governance, and scalable infrastructure to drive informed decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist (Data-to-Decision Dashboard) at Inox Dairytech Industries

October 1, 2022 - August 1, 2023

Designed Power BI dashboards integrating AI summaries for sales churn and ROI analysis, standardising metrics and improving leadership decision-making. Built SQL/Airflow pipelines for data ingestion and quality checks, reducing manual effort by 25% in AI-driven applications. Applied Python and GPT for anomaly detection and executive summaries, ensuring scalable, high-quality code delivery.

AI & ML Intern – Financial Forecasting at Acmegrade Pvt. Ltd.

August 1, 2021 - September 1, 2021

Developed Python forecasting models with machine learning, boosting financial default detection accuracy by 12% via AI agent architectures. Optimised SQL databases and validation for AI-integrated reporting, enhancing problem-solving and timeliness under tight deadlines.