About me
I am an AI and Data Analytics professional with a strong foundation in Python, SQL and R. My main areas of focus include Analytics, AI + ML, and Data Engineering; combined with practical experience working on real-world problems. I hold a Bachelor’s degree in Computational Data Sciences from The Penn State University and have worked in AI & Analytics-focused roles across internships and full-time positions.
My work spans large-scale data processing, exploratory data analysis, and AI+ML-driven insights. I have projects in domains such as traffic analytics, public health (Pollution, COVID-19), and algorithmic decision-making systems. I am particularly interested in the intersection of technology, decision-making, and management, and I am always seeking opportunities that offer international exposure.
* Here's what I do:
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Data Analytics
Analyzing and visualizing data to generate actionable insights that support data-driven decision-making.
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AI and Applied ML
Building and evaluating Artificial Intelligence and Machine Learning models with a focus on performance, interpretability, and real-world applicability. I bring working expirence with Agentic, Multi-Modal and MCP models.
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Data Engineering
Designing scalable data pipelines using Python, SQL, Spark and Snowflake to process and transform large datasets efficiently.
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Responsible & Ethical AI
Studying bias, transparency, and trust in algorithmic decision-making systems, especially in regulated and high-impact domains.
* Testimonials