I’m a pre-final year B.Tech CSE student with a specialization in Artificial Intelligence, focused on building a strong foundation in data-driven AI systems.
My approach to AI is rooted in data analytics and problem understanding — exploring datasets, identifying patterns, diagnosing issues, and making informed decisions before applying models. I’m comfortable working with code, debugging effectively, and contributing where analytical clarity and system-level thinking are required.
Alongside academics, I actively work on AI-based systems that address real-world scenarios, emphasizing structured reasoning, evaluation, and ethical considerations rather than just model implementation.
My goal is to grow into a professional who can bridge data analytics and AI, and contribute meaningfully to projects by thinking clearly, analyzing deeply, and supporting robust, reliable solutions.
- Programming: C, Python, SQL, Java (basics)
- Data & ML: Pandas, NumPy, Matplotlib, Seaborn, scikit-learn
- Cloud / DevOps: AWS (S3, EC2, Lambda basics), Git & GitHub
- Web / Backend: Flask (APIs & small projects)
These are projects that show I’m learning and experimenting.
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Netflix Data Analysis
- Performed EDA, handled missing data, visualized insights
- Tools: Pandas, Matplotlib, Seaborn
- Link: https://github.com/SoumyaPandey25/netflix-data-analysis
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Simple ML Model: Sentiment Analysis
- Built a small text classification model
- Learned preprocessing, vectorization, and accuracy metrics
- Link: https://github.com/SoumyaPandey25/sentiment-analysis
- LinkedIn: Soumya Pandey
- LeetCode: soumyа_8215
- Twitter/X: @SoumyaPand98128
I focus on understanding data, debugging problems, and supporting real projects — not chasing coding streaks.