I am currently pursuing my Master of Science in Data Science (MSDS) at Texas A&M University, College Station, USA. I’m deeply passionate about solving real-world problems through data-driven approaches and aspire to become a leading Data Scientist in the industry.

My interests span across Machine Learning, Generative AI, and Computer Vision, and I continuously explore new tools and technologies to enhance my problem-solving capabilities. I believe in first-principles thinking and enjoy the challenge of building solutions from the ground up.

With a solid foundation in tools such as Python, Git, Docker, SQL, Excel, and AWS, I have actively led and contributed to diverse academic and collaborative projects. Beyond coding, I’m an enthusiastic learner who enjoys tech talks, writing, and sharing knowledge.

📬 Let’s connect — Feel free to reach out via email or LinkedIn

• 🛠   Data Science projects involving Python, SQL, Tableau, AWS, and Jupyter Notebooks
• 🚀   Exploring advanced topics in Gen AI, Large Language Models, and ML Model Optimization
• 📊   Enhancing my visualization and reporting skills with PowerBI and interactive dashboards
• 🔄   Contributing to open-source & collaborative research in AI and Data Analytics

• 🧩 Applied Machine Learning & Deep Learning
• 📉 Time-Series Analysis & Forecasting
• 🖼️ Computer Vision, 3D Reconstruction & Spectral NeRFs
• 📊 Visual Analytics, Dashboards & Storytelling
• 🧠 Natural Language Processing, Transformers & LLMs
• 🧬 Multimodal AI: Vision-Language Models & Prompt Engineering
• 📦 Model Deployment: Streamlit, RShiny, Flask APIs
• ☁️ Cloud Computing & Scalable Workflows (AWS, Colab, HPRC)
• 🧪 Research Translation: From Academic Prototypes to Applied AI

• 🧠 Think in First Principles – Break problems down to their fundamentals, then rebuild with insight and intention.
• 🚀 Build for Impact – Choose functionality that drives real outcomes and adds measurable value.
• 🧩 Stay Curious – Embrace ambiguity and remain open to unlearning and relearning as technology evolves.
• 📚 Share to Learn – Document, present, and teach — it strengthens understanding and helps the community grow.
• 🧘 Prioritize Clarity – In code, design, and communication. Clarity accelerates collaboration.
• 🎯 Be Outcome-Obsessed – Focus on results that empower users, simplify processes, or enable innovation.
• 🛠 Own the Craft – Attention to detail isn't optional. A polished build speaks louder than words.
• 🧬 Think Long-Term – Optimize not just for today’s problems, but for scalability and future evolution.
• 🌊 Adapt and Iterate – Embrace feedback, learn from setbacks, and evolve with every iteration. Growth is a process.

When I hit a roadblock in code or thought, I often consult my personal neural network — and sometimes it simply recommends a good coffee break! ☕✨