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As a passionate and results-driven Data Scientist with over 5 years of experience, I specialize in transforming complex datasets into actionable insights and scalable solutions that drive strategic business outcomes. My career journey spans roles at leading organizations like Comcast and Hewlett-Packard, where I've led the development and deployment of machine learning models, automated data workflows, and delivered data-driven strategies that improved retention, reduced stockouts, and boosted revenue. I bring a strong command of tools like Python, SQL, Tableau, and AWS/GCP to every project, along with a collaborative mindset and clear communication style that bridges technical and non-technical teams. Whether it’s optimizing marketing campaigns, enhancing customer experience, or forecasting inventory needs, I thrive on solving real-world problems with data. Currently pursuing a Master’s in Data Science, I’m always exploring new ways to enhance model performance, streamline analytics pipelines, and leverage cloud-based technologies. Let’s connect if you’re interested in data innovation, applied analytics, or solving high-impact challenges.…As a passionate and results-driven Data Scientist with over 5 years of experience, I specialize in transforming complex datasets into actionable insights and scalable solutions that drive strategic business outcomes. My career journey spans roles at leading organizations like Comcast and Hewlett-Packard, where I've led the development and deployment of machine learning models, automated data workflows, and delivered data-driven strategies that improved retention, reduced stockouts, and boosted revenue. I bring a strong command of tools like Python, SQL, Tableau, and AWS/GCP to every project, along with a collaborative mindset and clear communication style that bridges technical and non-technical teams. Whether it’s optimizing marketing campaigns, enhancing customer experience, or forecasting inventory needs, I thrive on solving real-world problems with data. Currently pursuing a Master’s in Data Science, I’m always exploring new ways to enhance model performance, streamline analytics pipelines, and leverage cloud-based technologies. Let’s connect if you’re interested in data innovation, applied analytics, or solving high-impact challenges.

Niyat Kahsay

Data Scientist, Data Analyst, Developer, +2

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As a passionate and results-driven Data Scientist with over 5 years of experience, I specialize in transforming complex datasets into actionable insights and scalable solutions that drive strategic business outcomes. My career journey spans roles at leading organizations like Comcast and Hewlett-Packard, where I've led the development and deployment of machine learning models, automated data workflows, and delivered data-driven strategies that improved retention, reduced stockouts, and boosted revenue. I bring a strong command of tools like Python, SQL, Tableau, and AWS/GCP to every project, along with a collaborative mindset and clear communication style that bridges technical and non-technical teams. Whether it’s optimizing marketing campaigns, enhancing customer experience, or forecasting inventory needs, I thrive on solving real-world problems with data. Currently pursuing a Master’s in Data Science, I’m always exploring new ways to enhance model performance, streamline analytics pipelines, and leverage cloud-based technologies. Let’s connect if you’re interested in data innovation, applied analytics, or solving high-impact challenges.…As a passionate and results-driven Data Scientist with over 5 years of experience, I specialize in transforming complex datasets into actionable insights and scalable solutions that drive strategic business outcomes. My career journey spans roles at leading organizations like Comcast and Hewlett-Packard, where I've led the development and deployment of machine learning models, automated data workflows, and delivered data-driven strategies that improved retention, reduced stockouts, and boosted revenue. I bring a strong command of tools like Python, SQL, Tableau, and AWS/GCP to every project, along with a collaborative mindset and clear communication style that bridges technical and non-technical teams. Whether it’s optimizing marketing campaigns, enhancing customer experience, or forecasting inventory needs, I thrive on solving real-world problems with data. Currently pursuing a Master’s in Data Science, I’m always exploring new ways to enhance model performance, streamline analytics pipelines, and leverage cloud-based technologies. Let’s connect if you’re interested in data innovation, applied analytics, or solving high-impact challenges.

Available to hire

As a passionate and results-driven Data Scientist with over 5 years of experience, I specialize in transforming complex datasets into actionable insights and scalable solutions that drive strategic business outcomes. My career journey spans roles at leading organizations like Comcast and Hewlett-Packard, where I’ve led the development and deployment of machine learning models, automated data workflows, and delivered data-driven strategies that improved retention, reduced stockouts, and boosted revenue.

I bring a strong command of tools like Python, SQL, Tableau, and AWS/GCP to every project, along with a collaborative mindset and clear communication style that bridges technical and non-technical teams. Whether it’s optimizing marketing campaigns, enhancing customer experience, or forecasting inventory needs, I thrive on solving real-world problems with data.

Currently pursuing a Master’s in Data Science, I’m always exploring new ways to enhance model performance, streamline analytics pipelines, and leverage cloud-based technologies. Let’s connect if you’re interested in data innovation, applied analytics, or solving high-impact challenges.

Skills

Experience Level

Expert

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Intermediate

Work Experience

Data Scientist at COMCAST CORPORATION

May 1, 2023 - Present

Led the development and deployment of predictive models and scalable data solutions to improve customer experience, marketing, and operations. Delivered machine learning models predicting customer churn, improving retention by 15%. Engineered real-time data pipelines using SQL and AWS services. Automated deployment workflows with CI/CD pipelines and AWS SageMaker, reducing deployment time by 40%. Collaborated across teams to integrate model insights into workflows, developed interactive dashboards in Tableau and Power BI, conducted A/B testing to evaluate marketing campaigns, implemented model monitoring for performance and data drift, and utilized Python libraries for scalable data preprocessing and modeling.

Senior Data Analyst at HP (Hewlett-Packard)

April 30, 2023 - August 26, 2025

Led analytics projects supporting sales and supply chain strategic decisions by delivering actionable insights and process automation. Improved sales forecasting and inventory optimization accuracy using SQL, R, and Excel. Automated reporting workflows via Python and Power BI, reducing manual work by 30%. Analyzed customer behavior to support marketing and pricing strategies. Consolidated data sources using SQL and dbt for self-service analytics. Created custom reports and KPIs to enhance transparency. Validated and cleansed data ensuring quality control. Presented findings contributing to a 10% quarterly revenue increase. Mentored junior analysts and established analytics documentation standards.

Data Analyst at HP (Hewlett-Packard)

December 31, 2021 - August 26, 2025

Supported marketing, finance, and product teams through analytical insights, visualizations, and performance tracking. Extracted and processed large datasets with SQL and Excel. Maintained Tableau dashboards to monitor product and operational KPIs. Partnered with product managers to assess campaign effectiveness and marketing ROI. Conducted exploratory data analysis to expose trends and business opportunities. Automated reporting tasks with foundational data models and Python scripts. Performed root cause analyses on data discrepancies and improved data collection and reporting processes by collaborating with IT and analytics groups.