I’m an M.Sc. Data Science student with a strong foundation in Statistics, passionate about building intelligent systems that create real impact. With hands-on experience in ML, DL, and Generative AI, I love writing clean code—and more importantly, explaining it in a way that makes sense to others.
I specialize in:
- Predictive Modeling & ML Pipelines
- Multimodal Systems (Text, Image, Audio)
- LLMs, RAG, and GenAI Applications
Skilled in Python, R, SQL, with expertise in Scikit-learn, XGBoost, Hugging Face Transformers, and tools like Whisper and CLIP. My academic journey in Statistics helped me master complex analytical concepts and apply them in real-world ML workflows. Currently building projects that blend theory with practice—transforming raw data into strategic insights. I thrive on learning, teaching, and collaborating with teams that push the boundaries of AI.
Let’s build something intelligent together.
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