About Me
Turning data into decisions.
I am a Computer Science student specializing in Data Science and Analytics, with hands-on experience in Python, SQL, and Power BI. I focus on solving real-world problems using data-driven approaches.
I have worked on large-scale datasets and built machine learning models and dashboards that uncover actionable insights. I am currently seeking internship opportunities in Data Science / Data Analytics roles.
What I’m Doing
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Data Analysis
Analyzing datasets using Python and SQL to extract insights and support data-driven decisions.
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Machine Learning
Building and evaluating predictive models using Scikit-learn and applying ML techniques to real-world problems.
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Dashboard Development
Designing interactive dashboards using Power BI to track KPIs and support business decisions.
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Data Visualization
Creating clear and impactful visualizations to communicate insights using Matplotlib, Seaborn, and Power BI.
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DevOps & Deployment
Implementing CI/CD pipelines, containerization with Docker, and version control using Git & GitHub.
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Problem Solving / Analytics Thinking
Applying analytical thinking and problem-solving skills to real-world data challenges.
I enjoy working on data-driven solutions and collaborating on meaningful projects.